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Готові списки джерел за темами / Acquisition de modeles

Добірка наукової літератури з теми "Acquisition de modeles"

Автор: Grafiati

Опубліковано: 7 липня 2024

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Статті в журналах з теми "Acquisition de modeles":

1

Mietchen, Matthew S., Christopher T. Short, Matthew Samore, and Eric T. Lofgren. "Examining the impact of ICU population interaction structure on modeled colonization dynamics of Staphylococcus aureus." PLOS Computational Biology 18, no. 7 (July 25, 2022): e1010352. http://dx.doi.org/10.1371/journal.pcbi.1010352.

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Background Complex transmission models of healthcare-associated infections provide insight for hospital epidemiology and infection control efforts, but they are difficult to implement and come at high computational costs. Structuring more simplified models to incorporate the heterogeneity of the intensive care unit (ICU) patient-provider interactions, we explore how methicillin-resistant Staphylococcus aureus (MRSA) dynamics and acquisitions may be better represented and approximated. Methods Using a stochastic compartmental model of an 18-bed ICU, we compared the rates of MRSA acquisition across three ICU population interaction structures: a model with nurses and physicians as a single staff type (SST), a model with separate staff types for nurses and physicians (Nurse-MD model), and a Metapopulation model where each nurse was assigned a group of patients. The proportion of time spent with the assigned patient group (γ) within the Metapopulation model was also varied. Results The SST, Nurse-MD, and Metapopulation models had a mean of 40.6, 32.2 and 19.6 annual MRSA acquisitions respectively. All models were sensitive to the same parameters in the same direction, although the Metapopulation model was less sensitive. The number of acquisitions varied non-linearly by values of γ, with values below 0.40 resembling the Nurse-MD model, while values above that converged toward the Metapopulation structure. Discussion Inclusion of complex population interactions within a modeled hospital ICU has considerable impact on model results, with the SST model having more than double the acquisition rate of the more structured metapopulation model. While the direction of parameter sensitivity remained the same, the magnitude of these differences varied, producing different colonization rates across relatively similar populations. The non-linearity of the model’s response to differing values of a parameter gamma (γ) suggests simple model approximations are appropriate in only a narrow space of relatively dispersed nursing assignments. Conclusion Simplifying assumptions around how a hospital population is modeled, especially assuming random mixing, may overestimate infection rates and the impact of interventions. In many, if not most, cases more complex models that represent population mixing with higher granularity are justified.

2

Cheong, Kaman, Fanrui Guo, and Jinshi Lu. "Analysis of Huaxing Yuanchuang M&A Based on PEG and EVA Valuation Model." Advances in Economics, Management and Political Sciences 36, no. 1 (November 10, 2023): 53–65. http://dx.doi.org/10.54254/2754-1169/36/20231785.

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In the process of expanding operations, enterprises often encounter bottlenecks in terms of capital, technology, management, and other aspects. In order to tackle these problems, enterprises often choose to issue bonds, go public, mergers and acquisitions, etc. to expand their production and business scope, update management models, and improve their competitiveness. Due to the short introduction of the merger and acquisition mechanism, the analysis and research of mergers and acquisitions by various enterprises are relatively shallow, and the success rate of mergers and acquisitions by Chinese enterprises is low. This study conducts a research and analysis on the first merger and acquisition case on the Science and Technology Innovation Board, i.e., the case of Huaxing Yuanchuang's acquisition of Olyto. Based on PEG and EVA valuation models, it analyzes the motivation and results of Huaxing Yuanchuang's acquisition of Olyto's business behavior. By valuing and comparing the stock price of Huaxing Yuanchuang before and after the merger and acquisition behavior, the conclusion that the merger and acquisition behavior is not successful is drawn. Research has found that under the PEG valuation model, the stock price of Huaxingyuan Chuang after the merger is slightly overvalued, while under the EVA valuation model, the stock price is greatly underestimated.

3

K. N. Narasimha, Prasad. "Case studies of alternative land acquisition models in india." i-manager's Journal on Humanities & Social Sciences 1, no. 1 (2019): 44. http://dx.doi.org/10.26634/jhss.1.1.17107.

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Independent India continued with the land acquisition policy based on the doctrine of eminent domain.In the early two and three decades after independence, land acquisition has not been a major challenge Rights were limited, political and non-political organizations mobilizing the public against such acquisitions made them aware of the different provisions of the Land Acquisition Act. However, this situation has gradually changed and land acquisition for infrastructure and developmental works has become difficult. At places like Singer in West Bengal the government was forced to stop the land acquisition and have finally returned the land to the original owners based on court directions. Courts that have generally limited themselves to compensate for property acquired in the interest of society rather than the welfare of an individual have gradually begun to see land acquisition from different perspectives. Even after repeal of the colonial land acquisition act of 1894 and enactment of the new citizen friendly land acquisition act in 2013, the government continues to face major challenges in acquiring lands. At the same time there have been some initiatives in employing alternative land acquisition models and employing them successfully. This study traces the process of land acquisition in India and makes case studies of a few alternative land acquisition models and their reception by the people.

4

Andersson, Patric, Johan Graaf, and Niclas Hellman. "Sell-side analysts and corporate acquisitions: case study findings." Qualitative Research in Financial Markets 12, no. 4 (June 10, 2020): 437–64. http://dx.doi.org/10.1108/qrfm-08-2019-0094.

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Purpose This paper aims to investigate how sell-side analysts form expectations on, analyse, and communicate the effects of corporate acquisitions. Design/methodology/approach The paper reports on case studies of three listed firms who are frequent acquirers. The case data comprise semi-structured interviews and content analysis of analyst reports and corporate reports. Findings The paper reports three sets of findings. First, the analysts viewed acquisitions as heterogeneous events and, therefore, also treated acquisitions differently depending on factors such as size and acquisition strategy and the perceived “authenticity” of the acquisition (i.e. whether parts of the acquisition would be more accurately described as organic growth and regular capital expenditure (CAPEX) investments). Second, the authors find that analysts struggle with analysing the effects of acquisitions at the announcement date because of a mismatch between the analysts’ need of and the analysts’ access to relevant information. Although clients demand evaluations of announced acquisitions, relevant accounting information is not published until much later and the information at hand only allows for cursory analyses. Finally, the authors find that the analysts’ valuation models were too inflexible to fully incorporate the effects of the acquisition. In sum, the analysts, therefore, developed acquisition-driven investment cases without supporting accounting information and without converting expected acquisitions into forecasts. Originality/value By adopting a qualitative case study research design, the paper contributes to the ongoing efforts to open the “black-box” of sell-side analyst behaviour. In particular, the unique research design focusses on effects related to specific corporate events (acquisitions) rather than analysts’ everyday work.

5

Vinod, Venkateswaran, and SUDARSANAM S K. "Multiple Models in Predicting Acquisitions in the Indian Manufacturing Sector: A Performance Comparison." Interdisciplinary Journal of Information, Knowledge, and Management 18 (2023): 791–818. http://dx.doi.org/10.28945/5205.

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Aim/Purpose: Acquisitions play a pivotal role in the growth strategy of a firm. Extensive resources and time are dedicated by a firm toward the identification of prospective acquisition candidates. The Indian manufacturing sector is currently experiencing significant growth, organically and inorganically, through acquisitions. The principal aim of this study is to explore models that can predict acquisitions and compare their performance in the Indian manufacturing sector. Background: Mergers and Acquisitions (M&A) have been integral to a firm’s growth strategy. Over the years, academic research has investigated multiple models for predicting acquisitions. In the context of the Indian manufacturing industry, the research is limited to prediction models. This research paper explores three models, namely Logistic Regression, Decision Tree, and Multilayer Perceptron, to predict acquisitions. Methodology: The methodology includes defining the accounting variables to be used in the model which have been selected based on strong theoretical foundations. The Indian manufacturing industry was selected as the focus, specifically, data for firms listed in the Bombay Stock Exchange (BSE) between 2010 and 2022 from the Prowess database. There were multiple techniques, such as data transformation and data scrubbing, that were used to mitigate bias and enhance the data reliability. The dataset was split into 70% training and 30% test data. The performance of the three models was compared using standard metrics. Contribution: The research contributes to the existing body of knowledge in multiple dimensions. First, a prediction model customized to the Indian manufacturing sector has been developed. Second, there are accounting variables identified specific to the Indian manufacturing sector. Third, the paper contributes to prediction modeling in the Indian manufacturing sector where there is limited research. Findings: The study found significant supporting evidence for four of the proposed hypotheses indicating that accounting variables can be used to predict acquisitions. It has been ascertained that statistically significant variables influence acquisition likelihood: Quick Ratio, Equity Turnover, Pretax Margin, and Total Sales. These variables are intrinsically linked with the theories of liquidity, growth-resource mismatch, profitability, and firm size. Furthermore, comparing performance metrics reveals that the Decision Tree model exhibits the highest accuracy rate of 62.3%, specificity rate of 66.4%, and the lowest false positive ratio of 33.6%. In contrast, the Multilayer Perceptron model exhibits the highest precision rate of 61.4% and recall rate of 64.3%. Recommendations for Practitioners: The study findings can help practitioners build custom prediction models for their firms. The model can be developed as a live reference model, which is continually updated based on a firm’s results. In addition, there is an opportunity for industry practitioners to establish a benchmark score that provides a reference for acquisitions. Recommendation for Researchers: Researchers can expand the scope of research by including additional classification modeling techniques. The data quality can be enhanced by cross-validation with other databases. Textual commentary about the target firms, including management and analyst quotes, provides additional insight that can enhance the predictive power of the models. Impact on Society: The research provides insights into leveraging emerging technologies to predict acquisitions. The theoretical basis and modeling attributes provide a foundation that can be further expanded to suit specific industries and firms. Future Research: There are opportunities to expand the scope of research in various dimensions by comparing acquisition prediction models across industries and cross-border and domestic acquisitions. Additionally, it is plausible to explore further research by incorporating non-financial data, such as management commentary, to augment the acquisition prediction model.

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Collins, Tim, Sandra I. Woolley, Erlend Gehlken, and Eugene Ch’ng. "Automated Low-Cost Photogrammetric Acquisition of 3D Models from Small Form-Factor Artefacts." Electronics 8, no. 12 (December 1, 2019): 1441. http://dx.doi.org/10.3390/electronics8121441.

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The photogrammetric acquisition of 3D object models can be achieved by Structure from Motion (SfM) computation of photographs taken from multiple viewpoints. All-around 3D models of small artefacts with complex geometry can be difficult to acquire photogrammetrically and the precision of the acquired models can be diminished by the generic application of automated photogrammetric workflows. In this paper, we present two versions of a complete rotary photogrammetric system and an automated workflow for all-around, precise, reliable and low-cost acquisitions of large numbers of small artefacts, together with consideration of the visual quality of the model textures. The acquisition systems comprise a turntable and (i) a computer and digital camera or (ii) a smartphone designed to be ultra-low cost (less than $150). Experimental results are presented which demonstrate an acquisition precision of less than 40 μ m using a 12.2 Megapixel digital camera and less than 80 μ m using an 8 Megapixel smartphone. The novel contribution of this work centres on the design of an automated solution that achieves high-precision, photographically textured 3D acquisitions at a fraction of the cost of currently available systems. This could significantly benefit the digitisation efforts of collectors, curators and archaeologists as well as the wider population.

7

Astapov, K. L. "Strategy of M&A deals in oil industry (on example of «Rosneft» and «Bashneft» deal)." Russian Journal of Industrial Economics 13, no. 2 (July 2, 2020): 137–48. http://dx.doi.org/10.17073/2072-1633-2020-2-137-148.

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I analyzed merges and acquisitions’ transactions and their influence on strategy and development of oil company. For analyses the deal I chose acquisition by Rosneft of Bashneft, which took place in October 2016, applying both traditional and real option models. Real option model is more difficult, but better methodology, because it allows to valuate different scenarios of acquisition, choose more optimal scheme (acquisition time, amount of acquired shares). After building decision tree I calculated NPV of cash flows, which are generated in the deal (in scenarios of high and low oil prices, high and low synergy effects in two periods 2017–2018 and 2019–2020).The main results are the following. Acquisition deals create value for shareholders, only if acquisitions correspond to strategy of bidder company and culture of target company. Under some hypotheses the acquisition of Bashneft creates additional value for Rosneft in most scenarios (except scenario with low oil price and low synergy). Postponing the decision about complete acquisition till 2019 increases probability of successful acquisition as well as maximizes NPV.

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LaMagna, Michael, Erica Swenson Danowitz, and Andrea Rodgers. "Competing eBook acquisition models: which model best serves a community college library?" Collection and Curation 39, no. 2 (December 12, 2019): 33–40. http://dx.doi.org/10.1108/cc-07-2019-0019.

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Purpose Academic libraries continue to invest in eBooks to ensure access to content in various formats. This paper aims to examine eBook acquisition models, including patron-driven acquisitions, one-time purchases, focused collection subscriptions or large-scale subscriptions, to better understand how users engage with this content based on usage data. Design/methodology/approach Usage data provide insights into eBook acquisition and how access models influence use. This study defines the acquisition model for each eBook purchase. Data were examined to determine usage by acquisition model and cost-per-use. Findings This paper finds that for a large suburban community college, a large-scale subscription model has the lowest cost-per-use and serves the largest portion of students. Focused collection subscriptions supported small, specialized programs in the Allied Health, Emergency Services, and Nursing fields. Originality/value This paper examines how eBooks are acquired to determine which model best serves an academic library community, specifically a community college library, which is currently underrepresented in the literature.

9

Gu, Yue, Shenglin Ben, and Jiamin Lv. "Peer Effect in Merger and Acquisition Activities and Its Impact on Corporate Sustainable Development: Evidence from China." Sustainability 14, no. 7 (March 25, 2022): 3891. http://dx.doi.org/10.3390/su14073891.

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The research aims to investigate the existence of peer effect in mergers and acquisitions and study its impact on corporate sustainable development. It first constructs a peer effect testing model to examine whether there is peer effect in mergers and acquisitions, based on quarterly data in China between 2005 and 2019. Then, two econometric models are proposed separately to explore the impact of economic policy uncertainty on the merger and acquisition peer effect, as well as how the peer effect affects corporate sustainability. The key findings show that (i) firms tend to imitate their peers’ merger and acquisition behaviors, which means that the peer effect does exist in mergers and acquisitions; (ii) economic policy uncertainty could strengthen the peer effect in mergers and acquisitions; (iii) the peer effect has a negative impact on corporate sustainable development, and the impact is more significant within a relatively short period. Therefore, this study enriches the research of behavior science in mergers and acquisitions, improves the accuracy of peer effect testing and enables both firms and policymakers to mitigate irrational imitation in merger and acquisition deals, thus achieving their sustainable development goals.

10

Öberg, Christina. "Acquisition as a mode for servitisation: servitisation integration and consequences." Journal of Service Management 35, no. 6 (December 26, 2023): 1–21. http://dx.doi.org/10.1108/josm-08-2022-0255.

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PurposeWhile existing literature extensively explores manufacturing firms expanding into services, little is known about the modes of servitisation, the means by which they carry it out. This paper concentrates on acquisitions as a mode of servitisation. Post-acquisition integration is when the potential of an acquisition is realised. The paper therefore aims to categorise types of integrations following the acquisition of servitised firms and discusses their consequences for servitisation.Design/methodology/approachThe empirical part of the paper is based on two case studies, each involving the acquisition of servitised firms. Both acquirers changed their integration approach over time.FindingsThe paper conceptualises three types of integrations: rhetorical, insulated and transformative integrations, indicating whether and how the acquirer becomes servitised following the integration. These highlight the analysis of integration based on business models and customer orientation in relation to servitisation.Originality/valueThis paper contributes to research on servitisation by emphasising acquisitions as a mode of servitisation and conceptualising three integration types related to business models and customer orientations. Furthermore, the paper highlights how an acquirer's servitisation leads to new offerings targeting new customers, as opposed to strengthening existing relationships.

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Дисертації з теми "Acquisition de modeles":

1

Thomas, Jérôme. "Vers l'integration de l'apprentissage symbolique et de l'acquisition de connaissances basee sur les modeles : le systeme enigme." Paris 6, 1996. http://www.theses.fr/1996PA066759.

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Dans cette these, nous presentons une approche permettant une integration entre apprentissage symbolique et acquisition de connaissances qui ne se reduise pas a une simple juxtaposition. La notion de biais d'apprentissage y joue un role central. Nous montrons que la methode de resolution de problemes que le systeme final doit suivre, ainsi que des modeles du domaine, peuvent etre utilises pour guider efficacement un systeme d'apprentissage. La plupart des entrees d'un tel systeme peuvent donc etre issues du modele d'expertise des methodologies kads ou vital. L'utilisation de ces connaissances comme biais d'apprentissage permet (1) d'engendrer, a l'aide d'un outil d'apprentissage, des connaissances destinees a une architecture de systeme expert de seconde generation ; (2) de donner une semantique aux connaissances qui contraignent les resultats de l'apprentissage, en s'appuyant sur leur role durant la resolution de problemes ; (3) d'utiliser les outils developpes par l'acquisition des connaissances pour acquerir le biais d'apprentissage ; et, enfin, (4) de fournir a l'ingenieur cogniticien de nouveaux outils d'explicitation dans un banc logiciel d'acquisition des connaissances basee sur les modeles. Cela est rendu possible par le fait que le systeme d'apprentissage prend en compte les connaissances acquises et deja modelisees pour en apprendre de nouvelles, garantissant ainsi une certaine coherence entre ces differentes connaissances. Nous presentons aussi enigme, le systeme que nous avons mis en uvre pour valider ces idees. Un scenario d'utilisation de ce systeme sur un domaine d'application issu du jeu de bridge est decrit.

2

Preuksakarn, Chakkrit. "Acquisition et validation de modèles architecturaux virtuels de plantes." Phd thesis, Université Montpellier II - Sciences et Techniques du Languedoc, 2012. http://tel.archives-ouvertes.fr/tel-00859843.

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Les modèles virtuels de plantes sont visuellement de plus en plus réalistes dans les applications infographiques. Cependant, dans le contexte de la biologie et l'agronomie, l'acquisition de modèles précis de plantes réelles reste un problème majeur pour la construction de modèles quantitatifs du développement des plantes.Récemment, des scanners laser 3D permettent d'acquérir des images 3D avec pour chaque pixel une profondeur correspondant à la distance entre le scanner et la surface de l'objet visé. Cependant, une plante est généralement un ensemble important de petites surfaces sur lesquelles les méthodes classiques de reconstruction échouent. Dans cette thèse, nous présentons une méthode pour reconstruire des modèles virtuels de plantes à partir de scans laser. Mesurer des plantes avec un scanner laser produit des données avec différents niveaux de précision. Les scans sont généralement denses sur la surface des branches principales mais recouvrent avec peu de points les branches fines. Le cœur de notre méthode est de créer itérativement un squelette de la structure de la plante en fonction de la densité locale de points. Pour cela, une méthode localement adaptative a été développée qui combine une phase de contraction et un algorithme de suivi de points.Nous présentons également une procédure d'évaluation quantitative pour comparer nos reconstructions avec des structures reconstruites par des experts de plantes réelles. Pour cela, nous explorons d'abord l'utilisation d'une distance d'édition entre arborescence. Finalement, nous formalisons la comparaison sous forme d'un problème d'assignation pour trouver le meilleur appariement entre deux structures et quantifier leurs différences.

3

Gindullin, Ramiz. "Learning concise constraint models from error-free data : studies on learning Boolean-arithmetic equations and short-term scheduling models." Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2024. http://www.theses.fr/2024IMTA0393.

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Utilisant la programmation logique par contrainte, l'objectif de cette thèse est de développer plusieurs techniques d'acquisition de contraintes pour les situations où nous disposons de données sans erreur. De telles situations rendent la majorité des techniques de ML inutilisables et de nouvelles approches sont nécessaires. Les techniques d'acquisition de contraintes proposées sont appliquées à deux cas d'utilisation : la recherche de nouvelles conjectures de limites fortes pour huit objets combinatoires et l'acquisition de contraintes à partir d'un calendrier de production à court terme unique et valide. Les contributions de la thèse comprennent (i) un modèle de contrainte pour acquérir des expressions booléennes-arithmétiques à partir de données, (ii) une base de données générée automatiquement de contraintes anti-réécriture qui empêchent la génération d'équations booléennes-arithmétiques simplifiables, (iii) un certain nombre de techniques de synthèse de formules qui peuvent acquérir une formule unique combinant plusieurs biais d'apprentissage, (iv) l'acquisition d'une variété de contraintes d'ordonnancement telles que les contraintes temporelles, de ressources, de calendrier et d'équipes, et dans ce dernier cas (v) la génération d'un modèle d'ordonnancement MiniZinc
Using constraint logic programming, the goal of this thesis is to develop several constraint acquisition techniques for the situations where we have error-free data. Such situations render majority of ML techniques unusable and new approaches are required. The proposed constraint acquisition techniques are applied for two use cases: search for new sharp bounds conjectures for eight combinatorial objects and the constraint acquisition from a single valid short-term production schedule. The contributions of the thesis include (i) a constraint model to acquire Boolean-arithmetic expressions from data, (ii) an automatically generated database of anti-rewriting constraints that prevent the generation of simplifiable Boolean-arithmetic equations, (iii) a number of formulae synthesis techniques which can acquire a single formula combining several learning biases, (iv) the acquisition of a variety of scheduling constraints such as temporal, resource, calendar and shift constraints, and in this later case (v) the generation of a MiniZinc scheduling model

4

VAUTRIN, Florent. "Contribution a l'optimisation des memoires analogiques rapides et bas bruit dans les technologies submicroniques. Application aux chaines d'acquisition des trajectometres de la physique des particules." Phd thesis, Université Louis Pasteur - Strasbourg I, 2000. http://tel.archives-ouvertes.fr/tel-00006340.

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Le domaine de la physique des particules necessite l'acquisition continue de donnees dans des memoires analogiques constituees de plusieurs millions de cellules de memorisation. Une cellule de memorisation etant un simple echantillonneur-bloqueur. Les contraintes imposees par l'environnement sur ces cellules sont drastiques. Un compromis entre surface, precision, vitesse et puissance dissipee est a trouver. L'etude peut se generaliser au domaine instrumental ou la non-linearite est la principale limitation a l'integration des systemes. L'etude presente e porte sur l'analyse quantitative de la non-linearite dans une cellule minimaliste en mode tension et en mode courant. Afin de determiner la precision ultime que l'on peut atteindre avec une structure minimaliste, des modeles polynomiaux ont ete etablis a partir des equations grands signaux des composants. L'etude des coefficients des polynomes a permis de degager des facteurs d'influence relatifs aux composants de la cellule. Ces modeles ont ete confrontes a des resultats de simulations et un circuit prototype a ete concu dans une technologie 0,25um afin de faire la correlation avec des resultats de mesures. Une resolution de 12 bits peut etre facilement obtenue en mode tension alors que 9 bits sont atteints en mode courant. Il est montre que le mode tension est beaucoup plus sensible aux parametres technologiques. Le mode courant apparait alors comme une alternative interessante pour la conception de memoires analogiques precises dans des technologies fortement submicroniques. Une description complete de l'elaboration des modeles et de leur exploitation est donnee dans ce manuscrit.

5

Waegner, Nicholas Paul. "Stochastic models for language acquisition." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309214.

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6

Buttery, P. J. "Computational models for first language acquisition." Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.597195.

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This work investigates a computational model of first language acquisition; the Categorical Grammar Learner or CGL. The model builds on the work of Villavicenio, who created a parametric Categorical Grammar learner that organises its parameters into an inheritance hierarchy, and also on the work of Buszkowski and Kanazawa, who demonstrated the learnability of a k-valued Classic Categorial Grammar (which uses only the rules of function application) from strings. The CGL is able to learn a k-valued General Categorial Grammar (which uses the rules of function application, function composition and Generalised Weak Permutation). The novel concept of Sentence Objects (simple strings, augmented strings, unlabelled structures and functor-argument structures) are presented as potential points from which learning may commence. Augmented strings (which are stings augmented with some basic syntactic information) are suggested as a sensible input to the CGL as they are cognitively plausible objects and have greater information content than strings alone. Building on the work of Siskind, a method for constructing augmented strings from unordered logic forms is detailed and it is suggested that augmented strings are simply a representation of the constraints placed on the space of possible parses due to a sting’s associated semantic content. The CGL make crucial use of a statistical Memory Module (constructed from a type memory and Word Order Memory) that is used to both constrain hypotheses and handle data which is noisy or parametrically ambiguous. A consequence of the Memory Module is that the CGL learns in an incremental fashion. This echoes real child learning as documented in Brown’s Stages of Language Development and also as alluded to by an included corpus study of child speech. Furthermore, the CGL learns faster when initially presented with simpler linguistic data; a further corpus study of child-directed speech suggests that this echoes the input provided to children. The CGL is demonstrated to learn from real data. It is evaluated against previous parametric learners (the Triggering Learning Algorithm of Gibson and Wexler and the Structural Triggers Learner of Fodor and Sakas) and is found to be more efficient.

7

Frank, Stella Christina. "Bayesian models of syntactic category acquisition." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/6693.

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Discovering a word’s part of speech is an essential step in acquiring the grammar of a language. In this thesis we examine a variety of computational Bayesian models that use linguistic input available to children, in the form of transcribed child directed speech, to learn part of speech categories. Part of speech categories are characterised by contextual (distributional/syntactic) and word-internal (morphological) similarity. In this thesis, we assume language learners will be aware of these types of cues, and investigate exactly how they can make use of them. Firstly, we enrich the context of a standard model (the Bayesian Hidden Markov Model) by adding sentence type to the wider distributional context.We show that children are exposed to a much more diverse set of sentence types than evident in standard corpora used for NLP tasks, and previous work suggests that they are aware of the differences between sentence type as signalled by prosody and pragmatics. Sentence type affects local context distributions, and as such can be informative when relying on local context for categorisation. Adding sentence types to the model improves performance, depending on how it is integrated into our models. We discuss how to incorporate novel features into the model structure we use in a flexible manner, and present a second model type that learns to use sentence type as a distinguishing cue only when it is informative. Secondly, we add a model of morphological segmentation to the part of speech categorisation model, in order to model joint learning of syntactic categories and morphology. These two tasks are closely linked: categorising words into syntactic categories is aided by morphological information, and finding morphological patterns in words is aided by knowing the syntactic categories of those words. In our joint model, we find improved performance vis-a-vis single-task baselines, but the nature of the improvement depends on the morphological typology of the language being modelled. This is the first token-based joint model of unsupervised morphology and part of speech category learning of which we are aware.

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Rodrigeuz-Sanchez, I. "Matrix models of second language vocabulary acquisition." Thesis, Swansea University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.638702.

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Most of the current research in L2 vocabulary acquisition has been too focused on what it is to learn a word, and has neglected how whole vocabularies grow or decline. In general, it is assumed that vocabulary gains and losses are incremental and follow a linear progression. This thesis postulates a model which considers several discrete stages of knowledge and accounts for the unstable nature of vocabulary knowledge, where words can change from one state to any other. Matrix algebra is a tool capable to operate with such a model and produce long-term forecasts of vocabulary size. Our experimental work describes the retention and the overall growth of the vocabulary of advanced learners of Spanish. These experiments show that forecasts of vocabulary size generated by the matrix model are far more accurate than those generated by a linear model. With data from two self-rating tasks containing a large number of words completed within a given lapse we build matrices which generate forecasts of vocabulary knowledge. These forecasts highly correlate to the actual knowledge measured three and four months later. This methodology is tested with subjects of various groups, using words from different frequency bands, and different measurement scales. In addition, we indicate ways of identifying matrices likely to generate inaccurate predictions. This methodology is considered one step forward towards the establishment of a model for L2 vocabulary acquisition.

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Pasiouras, Fotios. "Development of bank acquisition targets prediction models." Thesis, Coventry University, 2005. http://curve.coventry.ac.uk/open/items/ecf1b00d-da92-9bd2-5b02-fa4fab8afb0c/1.

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This thesis develops a range of prediction models for the purpose of predicting the acquisition of commercial banks in the European Union using publicly available data. Over the last thirty years, there have been approximately 30 studies that have attempted to identify potential acquisition targets, all of them focusing on non-bank sectors. We consider that prediction models developed specifically for the banking industry are essential due to the unusual structure of banks' financial statements, differences in the environment in which banks operate and other specific characteristics of banks that in general distinguish them from non-financial firms. We focus specifically on the EU banking sector, where M&As activity has been considerable in recent years, yet academic research relating to the EU has been rather limited compared to the case of the US. The methodology for developing prediction models involved identifying past cases of acquired banks and combining these with non-acquired banks in order to evaluate the prediction accuracy of various quantitative classification techniques. In this study, we construct a base sample of commercial banks covering 15 EU countries, and financial variables measuring capital strength, profit and cost efficiency, liquidity, growth, size and market power, with data in both raw and country-adjusted (i.e. raw variables divided by the average of the banking sector for the corresponding country) form. In order to allow for a proper comparative evaluation of classification methods, we select common subsets of the base sample and variables with high discriminatory power, dividing the sample period (1998-2002) into training sub-sample for model development (1998-2000), and holdout sub-sample for model evaluation (2001-2002). Although the results tend to support the findings of studies on non-financial firms, highlighting the difficulties in predicting acquisition targets, the prediction models we develop show classification accuracies generally higher than chance assignment based on prior probabilities. We also consider the use of equal and unequal matched holdout samples for evaluation, and find that overall classification accuracy tends to increase in the unequal matched samples, implying that equal matched samples do not necessarily overstate the prediction ability of models. The main goal of this study has been to compare and evaluate a variety of classification methods including statistical, econometric, machine learning and operational research techniques, as well as integrated techniques combining the predictions of individual classification methods. We found that some methods achieved very high accuracies in classifying non-acquired banks, but at the cost of relatively poor accuracy performance in classifying acquired banks. This suggests a trade-off in achieving high classification accuracy, although some methods (e.g. Discriminant) performed reasonably well in terms of achieving balanced overall classification accuracies of above chance predictions. Integrated prediction models offer the advantage of counterbalancing relatively poor performance of some classification methods with good performance of others, but in doing so could not out-perform all individual classification methods considered. In general, we found that the outcome of which method performed best depended largely on the group classification accuracy considered, as well as to some extent on the choice of the discriminatory variables. Concerning the use of raw or country-adjusted data, we found no clear effect on the prediction ability of the classification methods.

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Neo, Say Beng. "On some Markovian Salvo combat models." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://edocs.nps.edu/npspubs/scholarly/theses/2008/Dec/08Dec%5FNeo.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, December 2008.
Thesis Advisor(s): Kress, Moshe; Szechtman, Roberto. "December 2008." Description based on title screen as viewed on January 28, 2009. Includes bibliographical references (p. 55-56). Also available in print.

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Книги з теми "Acquisition de modeles":

1

Ltd, Whitehorse Strategic Group. Procurement models for Victorian public libraries. Melbourne: Whitehorse Strategic Group, 2007.

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2

Ltd, Whitehorse Strategic Group. Procurement models for Victorian public libraries. Melbourne: Whitehorse Strategic Group, 2007.

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3

D'Alvia, Daniele, Ettore Maria Lombardi, and Yochanan Shachmurove. Alternative Acquisition Models and Financial Innovation. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003169079.

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4

Dang, Tri Vi. Essays on information acquisition. Mannheim: Universität Mannheim?, 2005.

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5

M, Ford Kenneth, and Bradshaw Jeffrey M, eds. Knowledge acquisition as modeling. New York: Wiley, 1993.

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6

Chipman, Susan, and Alan L. Meyrowitz, eds. Foundations of Knowledge Acquisition: Cognitive Models of Complex Learning. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3172-2.

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7

Chipman, Susan. Foundations of Knowledge Acquisition: Cognitive Models of Complex Learning. Boston, MA: Springer US, 1993.

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8

F, Chipman Susan, and Meyrowitz Alan L, eds. Foundations of knowledge acquisition: Cognitive models of complex learning. Boston: Kluwer Academic, 1993.

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9

Berwick, Robert C. The acquisition of syntactic knowledge. Cambridge, Mass: MIT Press, 1985.

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10

1921-, Ferguson Charles Albert, Menn Lise, and Stoel-Gammon Carol, eds. Phonological development: Models, research, implications. Timonium, Md: York Press, 1992.

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Частини книг з теми "Acquisition de modeles":

1

Lees, Stan. "Forecasting Models and Value Probing." In Global Acquisitions, 90–94. London: Palgrave Macmillan UK, 2003. http://dx.doi.org/10.1057/9780230523746_7.

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2

Rendell, Larry. "Conceptual Knowledge Acquisition in Search." In Computational Models of Learning, 89–159. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-82742-6_4.

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3

Tisseau, G. "Modelis : an Artificial Intelligence System Which Models Thermodynamics Textbook problems." In Intelligent Learning Environments and Knowledge Acquisition in Physics, 47–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-84784-4_5.

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4

Cavallaro, Giuseppe. "Special Purpose Acquisition Companies." In Alternative Acquisition Models and Financial Innovation, 74–83. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003169079-7.

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5

Carroll, Marilyn E., and Richard A. Meisch. "Acquisition of Drug Self-Administration." In Animal Models of Drug Addiction, 237–65. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-934-5_9.

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6

Michalski, Ryszard S. "Learning Strategies and Automated Knowledge Acquisition." In Computational Models of Learning, 1–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-82742-6_1.

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7

Noguchi, R. A., and R. J. Minnichelli. "MBSE for Acquisition." In Handbook of Model-Based Systems Engineering, 725–52. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-93582-5_44.

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Noguchi, R. A., and R. J. Minnichelli. "MBSE for Acquisition." In Handbook of Model-Based Systems Engineering, 1–28. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-27486-3_44-1.

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9

Romano, Giovanni. "The Special Purpose Acquisition Company." In Alternative Acquisition Models and Financial Innovation, 92–107. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003169079-9.

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Yang, Charles. "Computational Models of Language Acquisition." In Studies in Theoretical Psycholinguistics, 119–54. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1688-9_4.

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Тези доповідей конференцій з теми "Acquisition de modeles":

1

Li, Xin, Yingdong Pi, Yanling Jia, Yuhui Yang, Wenguang Hou, and Zhiyong Chen. "Fisheye image rectification using spherical and digital distortion models." In Multispectral Image Acquisition, edited by Hongshi Sang, Xinyu Zhang, and Jun Zhang. SPIE, 2018. http://dx.doi.org/10.1117/12.2305834.

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2

MITTAL, SHASHI, and HARISH KARNICK. "LEARNING MODELS FOR LANGUAGE ACQUISITION." In Proceedings of the 6th International Conference (EVOLANG6). WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812774262_0029.

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3

Motwani, Mukesh, Balaji Sridharan, Rakhi Motwani, and Frederick C. Harris Jr. "Tamper Proofing 3D Models." In 2010 International Conference on Signal Acquisition and Processing (ICSAP). IEEE, 2010. http://dx.doi.org/10.1109/icsap.2010.85.

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4

Kita, Kenji, Yoshikazu Fukui, Masaaki Nagata, and Tsuyoshi Morimoto. "Automatic acquisition of probabilistic dialogue models." In 4th International Conference on Spoken Language Processing (ICSLP 1996). ISCA: ISCA, 1996. http://dx.doi.org/10.21437/icslp.1996-50.

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5

Wei-Lung Mao, Chorng-Sii Hwang, Chung-Wen Hung, Jyh Sheen, and Po-Hung Chen. "Unambiguous BPSK-like CSC method for Galileo acquisition." In 2013 18th International Conference on Methods & Models in Automation & Robotics (MMAR). IEEE, 2013. http://dx.doi.org/10.1109/mmar.2013.6669983.

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6

Cao, Baogui, and Zhaosheng Yang. "Car-Following Models Study Progress." In 2009 Second International Symposium on Knowledge Acquisition and Modeling. IEEE, 2009. http://dx.doi.org/10.1109/kam.2009.83.

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7

Li, Xiaoli, Yunfeng Kang, and Yixin Yin. "Adaptive Control of Stochastic System by Using Multiple Models." In 2006 IEEE International Conference on Information Acquisition. IEEE, 2006. http://dx.doi.org/10.1109/icia.2006.305948.

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Schwiegerling, Jim. "Optical Properties of Schematic Eye Models." In 3D Image Acquisition and Display: Technology, Perception and Applications. Washington, D.C.: OSA, 2018. http://dx.doi.org/10.1364/3d.2018.3tu5g.2.

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Javier Vazquez Martinez, Hector, Annika Lea Heuser, Charles Yang, and Jordan Kodner. "Evaluating Neural Language Models as Cognitive Models of Language Acquisition." In Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP. Stroudsburg, PA, USA: Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.genbench-1.4.

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10

Alhussien, Ikhlas, Erik Cambria, and Zhang NengSheng. "Semantically Enhanced Models for Commonsense Knowledge Acquisition." In 2018 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2018. http://dx.doi.org/10.1109/icdmw.2018.00146.

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Звіти організацій з теми "Acquisition de modeles":

1

Kamel, Magdi N. B2B Models for DoD Acquisition. Fort Belvoir, VA: Defense Technical Information Center, January 2008. http://dx.doi.org/10.21236/ada476790.

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2

Dietterich, Thomas G., and Prasad Tadepalli. Hybrid Computational Models for Skill Acquisition. Fort Belvoir, VA: Defense Technical Information Center, August 1998. http://dx.doi.org/10.21236/ada353324.

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3

McCrady, Rodney C. BPPM Data acquisition modes. Office of Scientific and Technical Information (OSTI), January 2011. http://dx.doi.org/10.2172/1008005.

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4

Meyers, B. C., and Patricia Oberndorf. A Framework for the Specification of Acquisition Models. Fort Belvoir, VA: Defense Technical Information Center, December 2001. http://dx.doi.org/10.21236/ada401717.

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5

Dean, Thomas L. Model Acquisition for Markov Decision Problems. Fort Belvoir, VA: Defense Technical Information Center, October 1998. http://dx.doi.org/10.21236/ada373795.

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6

Dean, Thomas. Model Acquisition for Markov Decision Problems. Fort Belvoir, VA: Defense Technical Information Center, October 1998. http://dx.doi.org/10.21236/ada380049.

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7

Montgomery, Jonathon A. Expansion of Enterprise Requirements and Acquisition Model. Fort Belvoir, VA: Defense Technical Information Center, June 2012. http://dx.doi.org/10.21236/ada562706.

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8

Glass, Samuel V., Samuel L. Zelinka, Charles R. Boardman, and Emil Engelund Thybring. Promoting advances in understanding water vapor sorption in wood: relegating popular models and misconceptions. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541615744.

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Water vapor sorption is a fundamental characteristic of wood as a building material. Apart from empirical prediction, models are often used to interpret the time-dependent process of water vapor uptake (sorption kinetics) and equilibrium states of water in wood (sorption isotherms). This paper summarizes our recent investigations into measurement methods and popular models that are widely used for interpreting these physical phenomena. Commonly used criteria for determining equilibrium moisture content with the dynamic vapor sorption technique yield much larger errors than previously thought. A more rigorous equilibrium criterion and a method to reduce data acquisition time are proposed. Evaluation of the parallel exponential kinetics model with improved data and multi-exponential decay analysis indicates that this model is unable to characterize the full sorption kinetic response following a step change in relative humidity. Fitting of common sorption isotherm models to high-quality equilibrium data for wood gives model predicted physical quantities such as monolayer capacity and enthalpy of sorption that are far from agreement with independently measured data. Thus, these models are not valid for water vapor sorption in wood. New theoretical models are needed that correctly describe the physical phenomena.

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Young, Richard M., and Anna L. Cox. Comparing Human Concept Acquisition to Models in a Cognitive Architecture. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada406924.

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10

Reiser, Brian J. Causal Models in the Acquisition and Instruction of Programming Skills. Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada248761.

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