Littérature scientifique sur le sujet « Erreurs de prédiction »
Créez une référence correcte selon les styles APA, MLA, Chicago, Harvard et plusieurs autres
Consultez les listes thématiques d’articles de revues, de livres, de thèses, de rapports de conférences et d’autres sources académiques sur le sujet « Erreurs de prédiction ».
À côté de chaque source dans la liste de références il y a un bouton « Ajouter à la bibliographie ». Cliquez sur ce bouton, et nous générerons automatiquement la référence bibliographique pour la source choisie selon votre style de citation préféré : APA, MLA, Harvard, Vancouver, Chicago, etc.
Vous pouvez aussi télécharger le texte intégral de la publication scolaire au format pdf et consulter son résumé en ligne lorsque ces informations sont inclues dans les métadonnées.
Articles de revues sur le sujet "Erreurs de prédiction"
1
Iskandar, Iskandar. « PENINGKATAN KEMAMPUAN MENULIS DESKRIPSI DENGAN STRATEGI MODELLING ». Pedagogik Journal of Islamic Elementary School 1, no 1 (27 avril 2018) : 91–104. http://dx.doi.org/10.24256/pijies.v1i1.383.
Texte intégralRésumé :
This study aims to improve the ability to write descriptions for fifth-grade students of SD Inpres Pabbangiang Gowa Regency which includes the content of ideas, content organization, grammar, diction, and spelling. This research is a classroom action research conducted in two cycles. The research subjects were students of class V in Pabbangiang Inpres Elementary School, Gowa Regency, totaling 43 students. Data collection techniques used are observation, interviews, and tests. The entire data obtained is analyzed through stages: data identification, data reduction, data presentation, and conclusions. The results showed that the results of the pre-action test in the description writing skills of fifth-grade students of Pabbangiang Inpres Elementary School in Gowa Regency which included aspects of the content of ideas, content organization, grammar, diction, and spelling were still lacking. After an action is taken through cycles I and II by applying the semantic mapping strategy in learning to write descriptions, the students' skills increase from the category of being very good. The final results of this study indicate that the application of modeling strategies can improve students' writing skills which include aspects of content ideas, content organization, grammar, diction, and spelling.
2
Xiong Tao, Chang Sheng-Jiang, Shen Jin-Yuan et Zhang Yan-Xin. « Adaptive training and pruning algorithm for variable bit rate video traffic pre diction ». Acta Physica Sinica 54, no 4 (2005) : 1931. http://dx.doi.org/10.7498/aps.54.1931.
Texte intégral
3
Leposa, Balázs. « Martinászok polgári köntösben : A magyar termelési dráma Mándi Éva Hétköznapok hősei című műve alapján ». Theatron 14, no 3 (2020) : 71–77. http://dx.doi.org/10.55502/the.2020.3.71.
Texte intégralRésumé :
Éva Mándi’s play Everyday Heroes premiered in November 1949 in the Budapest Inner City Theatre. While this was the first time in the history of Hungarian theatre that a hyper-realistic iron foundry and foundry workers were presented on the stage of an urban theatre, the play and its performance still follow the beats of a pre-war society comedy both in dramaturgy and diction, even though the coda doesn’t feature the reunion and marriage of lovers, but the triumph of increased production.
4
Liu, Wen Ting. « Travel Time Prediction of Road Network Based on Multi-Source Data Fusion ». Advanced Materials Research 490-495 (mars 2012) : 850–54. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.850.
Texte intégralRésumé :
This paper is concerned with the task of travel time pre-diction of urban roadway. For improving the travel time predication ac-curacy, a travel time predication model based multi-source data fusion is proposed. The prediction procedure is divided into two phases, the estimation phase and the prediction phase The method is combined the historical traffic patterns with real-time traffic data as a linear. The resulting model is tested with realistic traffic data, and is found to perform well.
5
Ranjit Reddy, B., et Dr Ramana Reddy. « Mapped middle view’s inter-view prediction to multiview pre-diction in MVC ». International Journal of Engineering & ; Technology 8, no 3 (4 septembre 2019) : 275–78. http://dx.doi.org/10.14419/ijet.v8i3.20650.
Texte intégralRésumé :
Based on the study of several methods involved in getting the benefit of extracting the inter-view redundancy, a new technique is suggested in this paper. The complexity of choosing the reference frames for different views is simplified. Starting with the camera placed in the center of the scene and predicting its frames from the left, right and the middle view, a map table is created per MB (Macro Block). This map table is simply extended to all the other views for respective inter-view prediction. This method of inter-view prediction applies the best for low to medium motion pictures. The complexity is way reduced as only one of the view’s prediction is derived and the same is comprehended to all other views. The method of a variable reference frame buffer where one frame from each of the buffers is stored also contributes to the reduction in complexity of the approach to inter-view prediction. Using the standard multi-view test sequences, few experimental results had proved that this approach can be opted for low motion sequences with a lesser complexity and improved compression with a coding gain of ~30%. The quality loss in PSNR (Peak Signal-to-Noise Ratio) is negligible with a loss of 0.2dB.Â
6
Zhou, Shenghan, Chaofan Wei, Chaofei Song, Yu Fu, Rui Luo, Wenbing Chang et Linchao Yang. « A Hybrid Deep Learning Model for Short-Term Traffic Flow Pre-Diction Considering Spatiotemporal Features ». Sustainability 14, no 16 (13 août 2022) : 10039. http://dx.doi.org/10.3390/su141610039.
Texte intégralRésumé :
Traffic flow prediction is one of the basic, key problems with developing an intelligent transportation system since accurate and timely traffic flow prediction can provide information support and decision support for traffic control and guidance. However, due to the complex characteristics of traffic information, it is still a challenging task. This paper proposes a novel hybrid deep learning model for short-term traffic flow prediction by considering the inherent features of traffic data. The proposed model consists of three components: the recent, daily and weekly components. The recent component is integrated with an improved graph convolutional network (GCN) and bi-directional LSTM (Bi-LSTM). It is designed to capture spatiotemporal features. The remaining two components are built by multi-layer Bi-LSTM. They are developed to extract the periodic features. The proposed model focus on the important information by using an attention mechanism. We tested the performance of our model with a real-world traffic dataset and the experimental results indicate that our model has better prediction performance than those developed previously.
7
Coloquit, Lorie Mae P., Luningning A. Canabal et Mark Philip C. Paderan. « Improving Students’ English Writing Proficiency through Interactive Writing Technique ». Journal of English Education and Linguistics 1, no 1 (29 juin 2020) : 72–81. http://dx.doi.org/10.56874/jeel.v1i1.50.
Texte intégralRésumé :
One of the active skills required not only in the field of academe for students but also in the industry world with degree holder employees that cause predicament in both areas is writing. Writing is one of the hurdles of different companies with their degree holder employees. Similarly, in the context of the academe, it is also found by previous studies that students are coping in writing academic essays and other writing outputs. The study aims to determine the effectiveness of interactive writing technique in intensifying basic writing skills to produce competent employees both in the academe and in the business world. This study also sought to address the predicament of students’ and employees’ low-level proficiency in basic writing. Interactive Writing is a collaborative technique used to enhance the level of proficiency when it comes to the organization of ideas, diction, elaboration, support and writing mechanics. Purposively, using these objectives: To investigate the level of English major’s writing proficiency in pre-test and post-test along with content, mechanics, organization, diction, elaboration, and support; to identify the level of effectiveness of the interactive technique and be able to establish an output based on the research findings. The study used a mixed-method design. Three phases of data gathering procedure were employed namely; pre-test, intervention, and post-test. Pre-test and Post-test were compared using the t-test and analyzed using the Error Density Index of Malicsi (2018). Results of the study unveil that students writing in the post-test improved from the pre-test general weighted mean of 2.28 interpreted as "developing" to 2.58 general weighted mean in the post-test interpreted as "approaching proficiency", indicating that there is an improvement in the writing proficiency of the students after various interventions using the Interactive Writing Technique. Moreover, these results were advertised and employed in producing a teacher and student module to continuously strengthen and amplify student's basic writing skills.
8
Wahyuningsih, Fitri Marliyah, et Sendi Fauzi Giwangsa. « Efektivitas Penggunaan Media Visual terhadap Keterampilan Menulis Puisi Siswa Sekolah Dasar ». AS-SABIQUN 7, no 1 (1 janvier 2025) : 61–72. https://doi.org/10.36088/assabiqun.v7i1.5556.
Texte intégralRésumé :
Writing poetry is often considered challenging for elementary school students due to a lack of imagination, mastery of diction, and limited use of relevant teaching media. This study aims to examine the effectiveness of using visual media in improving the poetry writing skills of elementary school students. The study employed a quantitative approach with a pre-experimental "one group pretest-posttest" design involving a sample of 9 fifth-grade students from SDN Baros Mandiri 5, selected randomly. Data were collected through pretests and posttests using a poetry writing assessment rubric that included five aspects: diction, figurative language, rhyme, theme coherence, and typography. Data analysis was conducted using a paired t-test. The results showed an increase in the average posttest score (61.7) compared to the pretest score (50.9), with a difference of 10.8 points. The paired t-test yielded a value of t=−5.21 and p<0.001, indicating that the use of visual media was effective in enhancing poetry writing skills. Visual media proved to motivate students, stimulate their imagination, and assist them in creatively expressing their ideas in poetry. However, this study was limited by the small sample size and the absence of a control group, suggesting the need for further research with a more comprehensive design to strengthen the findings.
9
Klyucharev, A. P., et N. A. Litvinovskaya. « IMPROVEMENT OF THE TECHNOLOGY OF DEVELOPMENT OF RESERVES OF THE EMISSION-HAZARDOUS FORMATION OF THE КРII STRATUM IN THE CONDITIONS OF THE EUROCHEM USOLSKIY POTASH MINE ». News of the Tula state university. Sciences of Earth 4, no 1 (2021) : 416–24. http://dx.doi.org/10.46689/2218-5194-2021-4-1-416-424.
Texte intégralRésumé :
This article presents the results of the authors' research on the construction of a pre-diction map with the division of an explosive potassium formation of the KPII stratum into haz-ardous and non-hazardous areas in the conditions of the mine field of the EuroChem Usolskiy potash mine, it is discovered that the decision rules developed for the other potash mines of the Verkhnekamskoye potash deposit are fundamentally unsuitable for the site concerned and re-quire revision, options of improvement the decision rule are proposed. Recommendations for safe mining operations, implicating a change of the existing mining technology, are presented at the end of the article.
10
Puranikath, Jagadevi, Fathima Farheen, Aruna Patil et Aishwarya K. M. « Analysis and Prediction of Multiple Disease using Machine Learning ». International Journal for Research in Applied Science and Engineering Technology 12, no 5 (31 mai 2024) : 3570–74. http://dx.doi.org/10.22214/ijraset.2024.62250.
Texte intégralRésumé :
Abstract: This paper uses the machine learning methods for predicting diabetes, heart disease, and Parkinson's disease based on user-provided input data. Its primary goal is to enhance early disease detection and prompt medical intervention using personalized predictions. By training models on relevant datasets, accurate predictions are achieved across various diseases, expanding our understanding and predictive capabilities in healthcare. The research's broad scope contributes significantly to addressing multiple medical conditions, fostering a more holistic approach to healthcare delivery. Through data-driven insights, this tool aids in reducing medical costs by enabling early intervention and proactive management of medical conditions. Overall, this study highlights the potential of model in healthcare for disease pre-diction and underscores its role in advancing personalized medicine and improving clinical decision-making.
Thèses sur le sujet "Erreurs de prédiction"
1
Mourier, Frédéric. « Analyse des erreurs de production des voyelles orales du français dans des tâches de répétition et de lecture auprès d’un public d’étudiants-es saoudiens-nes de F.L.E ». Electronic Thesis or Diss., Université Clermont Auvergne (2021-...), 2022. http://www.theses.fr/2022UCFAL020.
Texte intégralRésumé :
Cette étude se situe dans le domaine de la didactique de la prononciation en FLE en observant les erreurs de confusions phonético-phonologiques d’apprenants saoudiens. L’approche descriptive de la variation interphonologique à travers la constitution d’un corpus oral s’inscrit dans le cadre du projet IPFC (Detey & Kaxaguchi, 2008 ; Racine et al., 2012). Le projet IPFC-Arabe fournit des études pour différents groupes dialectaux (Abou Haidar, 2016), mais il existe peu d’études sur l’arabe saoudien (Al-Shihri, 2002). Le protocole de recueil des données utilise la liste de 69 mots du projet IPFC-Arabe. Il comprend 2 tâches (répétition et lecture) soumise à 9 sujets de niveau B1. Un groupe francophone de référence est soumis au même protocole. Les résultats comparent les groupes de locuteurs par tâche afin d’observer les zones de variations et la répartition des erreurs. L’analyse des résultats exprime une tendance au déplacement sur l’axe d’apertureThis study anchors in the field of pronunciation didactics in French as a Foreign Langage by observing the phonetic-phonological confusions made by Saudi learners. The descriptive approach of the interphonological variation through the constitution of an oral corpus is in accordance with the IPFC project (Detey & Kawaguchi, 2008 ; Racine et al., 2012). The IPFC-Arab project provides studies for different dialect groups (Abou Haidar, 2016), but there are few studies for Saudi Arabic (Al-Shihri, 2002). The protocol for collecting the data is based on the word-list of the IPFC-Arab project. It comprehends 2 tasks (repeating and reading) submitted to 9 subjects with level B1. A French native-speaking reference group is subject to the same protocol. The results enable to compare the speakers groups per tasks to observe the variation zones and the distribution of errors. The results express a tendancy to move along the axis of closeness position
2
Lo, Gwo Hong, et 羅國宏. « Application of Recurrent Neural Networks to Stock Price Pre- diction ». Thesis, 1995. http://ndltd.ncl.edu.tw/handle/88113605313407084607.
Texte intégral
3
Chang, Hsuan-Yun, et 張瑄芸. « The sequentially-learning-based algorithm and the pre-diction of the turning points of bull and bear markets ». Thesis, 2019. http://ndltd.ncl.edu.tw/handle/898m8v.
Texte intégralRésumé :
碩士國立政治大學
資訊管理學系
107
In the field of machine learning, there is a challenge to the Artificial Neural Networks (ANN) application whose input values are real numbers and the output values are binary. Whether any of ANN learning algorithms can solve the overfitting problem, while it can perfectly learn all of training data. Besides, the problem of outlier detection in the concept environment is becoming an issue. The nature data now has the dynamic and unstable property in the concept drifting environment. To address the aforementioned challenge, this study proposes the DSM (Decision Support Mechanism) and CSI (Cramming, Softening, and Integrating) learning algorithm. DSM apply the moving window mechanism, and it can not only identify the potential turning point detection in the bull/ bear market but also assist the decision maker to double check merely all of turning point candidates. The proposed CSI learning algorithm has the follow-ing features: (1) the adoption of adaptive single-hidden layer feed-forward neural network (ASLFN) and ReLU activation function, (2) the usage of least trimmed squares (LTS) prin-ciple to speed up the training time, (3) the practice to precisely learn all training data, and (4) the implementations of the regularization term, the softening and integrating mechanism to alleviate the obtained model from the overfitting tendency. We conduct an experiment of detecting the turning points of bull/bear markets to validate the effectiveness and efficiency of the proposed algorithm in the addressing challenge.
4
Chen, Ying-Chern, et 陳營誠. « Study on Using Grey and RBFNN on Comparison of Pre-diction the Price of Electronic Sector Index Futures and the Finance Sector Index Futures ». Thesis, 2008. http://ndltd.ncl.edu.tw/handle/88651692460185263126.
Texte intégralRésumé :
碩士大葉大學
國際企業管理學系碩士在職專班
96
The goal of this study is applying Grey prediction, radial basis function neural network (RBFNN) and Grey-RBFNN to predict the price of electronic sector index fu-tures and the finance sector index futures, and to compare their prediction accuracies. Grey model is a simple approach with acceptable prediction accuracy whereas radial basis function neural network is a tedious manipulation with high prediction accuracy. The new model Grey-RBFNN combining Grey and RBFNN is proposed and tested. It utilizes the GM(1,1) prediction as one of the RBFNN inputs. Prediction performances of all three algorithms are compared by using data of three single nation equity funds, JF Taiwan Fund, JF Japan New Generation Fund, and JPM New America Trust Fund from JP Morgan Asset Management, Taiwan. The period of samples is from January 2001 to December 2005. The results reveal: (1) GM-RBFNN is better than RBFNN, and RBFNN is better than GM(1,1). (2) By adopting the multi-regression analysis to com-paring with the residual of GM(1,1)、RBFNN、GM(1,1)-RBFNN and multi-regression. The fitness results indicate the GM(1,1)-RBFNN is the best, and the GM(1,1) is the worst. (3) After training phase, the prediction accuracies of GM-RBFNN and RBFNN are all improved.
5
Benmessaoud, Sirine. « Metalinguistic knowledge of second language pre-service teachers and the quality of their written corrective feedback : what relations ? » Thesis, 2020. http://hdl.handle.net/1866/24553.
Texte intégralRésumé :
Cette étude quantitative vise à 1) mesurer les connaissances métalinguistiques des futurs enseignants, 2) décrire la qualité de la rétroaction corrective écrite (RCÉ) des futurs enseignants de français langue seconde (FLS), et 3) examiner la relation entre les connaissances métalinguistiques des futurs enseignants et la qualité de leur rétroaction corrective à l’écrit.
Un groupe de 18 futurs enseignants de français langue seconde inscrit dans le programme de formation initiale des maîtres à Montréal a participé à l'étude. Les participants ont accompli 1) une tâche d’analyse de phrases pour mesurer leurs connaissances métalinguistiques, et 2) une tâche de rétroaction corrective écrite, pour évaluer la qualité de leurs pratiques rétroactives à l’écrit en termes de localisation d'erreur et d'explication métalinguistique fournie. Alors que les analyses descriptives sont effectuées pour répondre aux deux premières questions de la présente étude, des analyses de corrélation ont été réalisées pour déterminer s’il existe des relations entre les connaissances métalinguistiques des futurs enseignants et la qualité de leur rétroaction corrective à l’écrit.
Les résultats indiquent que 1) la localisation de l'erreur de la RCÉ fournie est précise, mais 2) l'explication métalinguistique l’est moins, 3) il existe une relation entre les connaissances métalinguistiques des futurs enseignants et la qualité de leur rétroaction corrective à l’écrit.The present quantitative study seeks to 1) measure pre-service teachers’ metalinguistic knowledge, 2) describe the quality of French as a second language (FSL) pre-service teachers’ written corrective feedback (WCF), and 3) examine the relationship between pre-service teachers’ metalinguistic knowledge and the quality of their written corrective feedback (i.e., teachers’ metalinguistic awareness). A group of 18 French as a second language pre-service teachers following the initial teacher training program in Montreal, participated in the study. Participants were assigned 1) a task of analytical abilities to measure their metalinguistic knowledge, and 2) a task of written corrective feedback provision to evaluate the quality of their written corrective feedback in terms of error location and the metalinguistic explanation provided. Descriptive analyses were undertaken to answer the first two research questions. Correlation analyses were performed to examine whether there exist any relations between pre-service teachers’ metalinguistic knowledge and the quality of their WCF. Among other things, results indicated that 1) while the error location of WCF provided was precise, 2) the metalinguistic explanation provided by the participants was not accurate, 3) there is a relationship between pre-service teachers’ metalinguistic knowledge and the quality of written corrective feedback.
Livres sur le sujet "Erreurs de prédiction"
1
Beauchamp, G. M. An accurate numerical technique for determining flight test rate gyroscope biases prior to takeoff = : Technique nume rique pre cise pour de terminer les erreurs syste matiques des gyrome tres d'essai en vol avant le de collage. Ottawa : National Research Council Canada, 1989.
Trouver le texte intégral
2
Templar, Richard. The Rules of Work. Upper Saddle River : Pearson Education, 2008.
Trouver le texte intégral
3
Templar, Richard. The rules of work : The unspoken truth about getting ahead in business. Upper Saddle River, N.J : Prentice Hall, 2005.
Trouver le texte intégral
4
Tissandier, Alex. Affirming Divergence. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474417747.001.0001.
Texte intégralRésumé :
Leibniz is a constant, but often overlooked, presence in Deleuze’s philosophy. This book explains three key moments in Deleuze’s philosophical development through the lens of his engagement with Leibniz. In doing so it hopes to offer a focused framework for understanding some of the most difficult aspects of Deleuze’s philosophy. Part One examines Deleuze’s account of the “anti-Cartesian reaction” of Spinoza and Leibniz which culminates in their two competing theories of expression. It argues that in some key respects Deleuze favours Leibniz’s interpretation of this key concept over Spinoza’s. Part Two looks at Deleuze’s critique of representation and his attempt to create a theory of difference that will underlie, rather than rely upon, conceptual opposition. It examines the crucial role played by the Leibnizian concepts of incompossibility and divergence in Deleuze’s theory of ‘vice-diction’, created in order to offer a sub-representational, or pre-individual, substitute for Hegelian contradiction. Part Three looks in detail at one of Deleuze’s last major works, The Fold. It argues for Leibniz’s central place in this text, and shows how Deleuze uses concepts from across Leibniz’s philosophy and mathematics as a framework to articulate a systematic account of his own mature philosophy.
Chapitres de livres sur le sujet "Erreurs de prédiction"
1
Chaturvedi, Sarthak, S. Deepak, Dhivya Bharathi et Bhargava Rama Chilukuri. « Data Imputation for Traffic State Estimation and Pre-diction Using Wi-Fi Sensors ». Dans Proceedings of the Sixth International Conference of Transportation Research Group of India, 385–95. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4204-4_23.
Texte intégral
2
Lapidge, Michael. « Poeticism in Pre-Conquest Anglo-Latin Prose ». Dans Aspects of the Language of Latin Prose. British Academy, 2005. http://dx.doi.org/10.5871/bacad/9780197263327.003.0016.
Texte intégralRésumé :
This chapter is primarily concerned with Anglo-Latin prose: that is to say, Latin prose composed in Anglo-Saxon England between roughly 650 and 1050. It poses the question of the extent to which Anglo-Latin authors were aware of different stylistic registers, and how well they understood what diction was appropriate to either prose or verse. Using the example of Bede as a starting point, the chapter provides a list of those features of poetic diction that are found, in varying degrees, in the authors of Anglo-Latin prose. The seven criteria presented provide a crude measuring-stick against which to assess the poeticism of the principal authors of Anglo-Latin prose. The study of poeticism in Anglo-Latin prose, and in medieval Latin literature in general, is a subject that awaits exploration.
3
Willis, Sheilesha R., Gloria L. Sweida, Stephanie Glassburn, Cynthia L. Sherman et Michelle C. Bligh. « Charismatic and Affective Rhetoric in a Presidential Campaign ». Dans Advances in Linguistics and Communication Studies, 120–37. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5003-9.ch007.
Texte intégralRésumé :
Although prior research demonstrates that charisma and rhetoric are two determinants of voting behavior, few studies have examined the effects of charismatic rhetoric and affect as they pertain to the outcomes of presidential elections. Using DICTION software for content analysis, 432 pre-convention speeches from the 2008 presidential election were analyzed to explore the effects that charismatic rhetoric and affect have on presidential candidates’ success. Results indicate that there were more similarities than differences in the charismatic and affect-laden rhetoric of successful and unsuccessful presidential candidates in both the Republican and Democratic parties. Overall, the results demonstrate that both successful and unsuccessful presidential candidates used charismatic rhetoric and emotional language to motivate their followers in the 2008 presidential election.
4
Bricout, Shirley. « Biblical Aesthetics ». Dans The Edinburgh Companion to D. H. Lawrence and the Arts, 90–102. Edinburgh University Press, 2020. http://dx.doi.org/10.3366/edinburgh/9781474456623.003.0008.
Texte intégralRésumé :
Biblical stories, tropes and images, and also the diction and syntax of the King James Version, are manifest throughout Lawrence’s oeuvre at the levels of form, plot and character. By approaching formal and thematic borrowings through the prism of recent developments in studies of Biblical aesthetics, this chapter demonstrates how Lawrence’s textual dynamics proceed from a sustained dialogue with the Bible that both demotes conventional beliefs and articulates his vision of the world. First, Lawrence’s pervasive use of Old Testament features and Hebrew poetry is reassessed to show how he valued the Bible as an aesthetic text. The chapter then instantiates how the Parables’ rhetorical strength is embedded in Lawrence’s narratives. Lastly, it examines how Lawrence’s artistic appropriation of Hebrew poetic forms and pagan imagery from the Book of Revelation restores pre-Christian image-thought.
5
Davidson, Donald. « Turing’s Test ». Dans Modelling the Mind, 1–12. Oxford University PressOxford, 1990. http://dx.doi.org/10.1093/oso/9780198249733.003.0001.
Texte intégralRésumé :
Abstract In the October 1950 issue of Mind A. M. Turing predicted that by the year 2000 it will be possible to build a computer that will have at least a 30 per cent chance of fooling an average inter rogator into thinking it is a person (Turing 1950). Given that Turing allowed his interrogator only a five-minute interview, and given the further conditions he placed on the test, he was probably right. But the interest of the article lies not in this pre diction: it lies in the test itself, for the test is designed to throw light on the nature of thought. I propose in this paper to consider how good Turing’s test (or Turing’s Test, as I shall call it) is. Some, but not all, of the issues to be raised were discussed by Turing.
6
Tanford, Charles, et Jacqueline Reynolds. « Introduction ». Dans Robots Nature’s, 1–7. Oxford University PressOxford, 1991. http://dx.doi.org/10.1093/oso/9780198504665.003.0001.
Texte intégralRésumé :
Abstract In September 2000, about the time that the manuscript for this book was being completed, the National Institute of General Medical Sciences, part of the US National Institutes of Health, launched the largest explicit molecular project of all time, aiming to solve the three-dimensional structures of 10 000 proteins. The goal is to do this not for just any 10 000 proteins, but to select ones that would represent identifiable protein families, each family representing a group with similar physiological function and/or gene similarities—proteins expected to be sufficiently closely related so that knowledge of one structure can be expected to allow pre- diction of structures for other members of a family on the basis of much less information than rigorous atom-by-atom measurements. The project is known as the ‘structural genomics initiative’. The work is to be split among seven regionally based research groups. The cost to the institute over the first five years will be $150 000 000 (£100 000 000).
7
Clifford, Tony. « Solubilities of involatile substances ». Dans Fundamentals of Supercritical Fluids, 50–64. Oxford University PressOxford, 1998. http://dx.doi.org/10.1093/oso/9780198501374.003.0003.
Texte intégralRésumé :
Abstract This chapter considers the behaviour and prediction of the solubility of compounds of higher molar mass, often solids, in supercritical fluids. The solubility of relatively large molecules in supercritical fluids is an important topic, which has been the subject of a large number of experimental and theoretical studies. Good data on solubilities are important in designing supercritical fluid processes, particularly supercritical fluid fractionation, as described in Chapter 6. This topic is a constituent part of the subject of Chapter 2, but has been separated because of its importance. It is difficult to make good predictions of solubilities in supercritical fluids from molecular properties in the absence of any experimental data (Johnston et al. 1989), although some success has been achieved for non-polar molecules in some cases and theoretical efforts are continuing. The basic problem is that there is a logarithmic relationship between the solubility and the energies in the systems, so that errors in pre diction of the latter have a large effect on solubility predictions.
8
Xia, Tian, Wei Wei, Li Ding, Hua Wang, Fang Lan et Zhenhua Li. « A Charging Power Prediction Method for Electric Vehicle Charging Facilities ». Dans Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde230298.
Texte intégralRésumé :
With the gradual increase in the use of electric vehicles, it has brought a huge impact on the load distribution of the power grid. In order to solve the problem of power grid load imbalance caused by the continuous development of the electric vehicle market, this paper establishes a prediction model of electric vehicle charging power based on Bi-LSTM. The historical data of charging power is trained to predict the power demand of a day, calculate the difference between the actual power demand and the predicted power demand, and use the normalized root mean square error as the pre-diction evaluation index. The results show that the prediction method of charging capacity of electric vehicle charging facilities has high prediction accuracy and better effect, and the prediction result is closer to the actual prediction value. The model in this paper can improve the utilization rate of past historical data and avoid forgetting the characteristics of historical data, so as to explore the potential time series characteristics of power data more deeply and have better prediction accuracy, which provides a reference for researchers to further explore how to improve the prediction accuracy of charging pile power demand.
9
Tissandier, Alex. « A Leibnizian World ». Dans Affirming Divergence, 88–116. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474417747.003.0005.
Texte intégralRésumé :
This chapter uses concepts from Leibniz’s philosophy to provide an account of the metaphysical system Deleuze constructs in Difference and Repetition and Logic of Sense. This account has four key components. 1) An ideal continuum populated by reciprocally determined differential relations, from which individuals are produced. Leibniz’s infinitesimal calculus is the technique most suited to describe this continuum. 2) The singularities or events which populate the continuum and which eventually form the “predicates” which are included within individuals. An inverted version of Leibniz’s theory of infinite analysis, which Deleuze dubs ‘vice-diction’, allows us to describe how these singularities are distributed. 3) The relations of compossibility between singularities which allow the articulation of a structure prior to any logical relations of opposition or contradiction. In Leibniz, a divergence between singularities marks a bifurcation into two distinct possible worlds. In Deleuze, by contrast, divergent series resonate and communicate with one another. 4) An “ideal game” which presides over the actualisation of this pre-individual continuum through the genesis of individuals. In Leibniz this game is subject to the rules of a divine calculus in which God selects a “best of all possible worlds” whose harmony is guaranteed. Deleuze, however, will reject this theological constraint.
10
Wigton, Robert S. « Brunswik and Medical Science ». Dans The Essential Brunswik, 378–79. Oxford University PressNew York, NY, 2001. http://dx.doi.org/10.1093/oso/9780195130133.003.0031.
Texte intégralRésumé :
Abstract Errors in judgment must occur in the practice of an art which consists largely in balancing probabilities. (Sir William Osler, 1897) (cited in Bean, 1961)SThe more I learn about medicine, the more I am impressed with its probabilistic nature. All diagnoses are uncertain no matter how classic the presenting signs and symptoms. All prognoses are uncertain no matter how effective the treatments. Exposure to agents that “cause” illness may or may not lead to clinical disease, and the manifestations of disease may differ from patient to patient. Although Brunswik’s work is unknown to nearly all physicians, there are striking parallels between what medicine has learned and his views of the causal texture of the environment. The dominant feature of nearly all medical decision making is a healthy dose of irreducible uncertainty, inevitable error, and an abundance of fallible indicators. As an example of the irreducible uncertainty in medicine, consider urinary tract infection, a common and well-studied illness. Medical texts list fifteen to twenty-five clinical findings, tests, and predisposing factors that are common features of urinary tract infection. The test most physicians depend on, the presence of white blood cells on microscopic examination of the urine, explains less than 20 percent of the variance in the diagnosis. The best clinical pre diction rule incorporating all symptoms, findings, and tests leaves 70 percent or more of the variance unexplained. This diagnostic problem also shows how vicarious functioning can be important in actual practice. Patients with urinary tract infection may complain of various symptoms, including painful urination, frequency of urination, small volume of urine, and lower abdominal pain. These symptoms are highly intercorrelated, and physicians must learn not to conclude that more of these symptoms does not mean the diagnosis is more certain.
Actes de conférences sur le sujet "Erreurs de prédiction"
1
Song, Lianteng, Zhonghua Liu, Chaoliu Li, Congqian Ning, Yating Hu, Yan Wang, Feng Hong et al. « PREDICTION AND ANALYSIS OF GEOMECHANICAL PROPERTIES OF JIMUSAER SHALE USING A MACHINE LEARNING APPROACH ». Dans 2021 SPWLA 62nd Annual Logging Symposium Online. Society of Petrophysicists and Well Log Analysts, 2021. http://dx.doi.org/10.30632/spwla-2021-0089.
Texte intégralRésumé :
Geomechanical properties are essential for safe drilling, successful completion, and exploration of both conven-tional and unconventional reservoirs, e.g. deep shale gas and shale oil. Typically, these properties could be calcu-lated from sonic logs. However, in shale reservoirs, it is time-consuming and challenging to obtain reliable log-ging data due to borehole complexity and lacking of in-formation, which often results in log deficiency and high recovery cost of incomplete datasets. In this work, we propose the bidirectional long short-term memory (BiL-STM) which is a supervised neural network algorithm that has been widely used in sequential data-based pre-diction to estimate geomechanical parameters. The pre-diction from log data can be conducted from two differ-ent aspects. 1) Single-Well prediction, the log data from a single well is divided into training data and testing data for cross validation; 2) Cross-Well prediction, a group of wells from the same geographical region are divided into training set and testing set for cross validation, as well. The logs used in this work were collected from 11 wells from Jimusaer Shale, which includes gamma ray, bulk density, resistivity, and etc. We employed 5 vari-ous machine learning algorithms for comparison, among which BiLSTM showed the best performance with an R-squared of more than 90% and an RMSE of less than 10. The predicted results can be directly used to calcu-late geomechanical properties, of which accuracy is also improved in contrast to conventional methods.
2
Gupta, Ankita, Gurunath Gurrala et Pidaparthy S. Sastry. « Instability Prediction in Power Systems using Recurrent Neural Networks ». Dans Twenty-Sixth International Joint Conference on Artificial Intelligence. California : International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/249.
Texte intégralRésumé :
Recurrent Neural Networks (RNNs) can model temporal dependencies in time series well. In this paper we present an interesting application of stacked Gated Recurrent Unit (GRU) based RNN for early prediction of imminent instability in a power system based on normal measurements of power system variables over time. In a power system, disturbances like a fault can result in transient instability which may lead to blackouts. Early pre- diction of any such contingency can aid the operator to take timely preventive control actions. In recent times some machine learning techniques such as SVMs have been proposed to predict such instability. However, these approaches assume availability of accurate fault information like its occurrence and clearance instants which is impractical. In this paper we propose an Online Monitoring System (OMS), which is a GRU based RNN, that continuously keeps predicting the current status based on past measurements. Through extensive simulations using a standard 118-bus system, the effectiveness of the proposed system is demonstrated. We also show how we can use PCA and predictions from the RNN to identify the most critical generator that leads to transient instability.