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Готові списки джерел за темами / Model acquisition

Добірка наукової літератури з теми "Model acquisition"

Автор: Grafiati

Опубліковано: 7 липня 2024

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Статті в журналах з теми "Model acquisition":

1

Harumová, Anna. "Model H application to determine synergic effects on merger and acquisition." SHS Web of Conferences 83 (2020): 01021. http://dx.doi.org/10.1051/shsconf/20208301021.

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Synergistic effects arise as effects of joint action based on mergers or acquisitions. Bundling is a common part of the growth strategy. A merger may acquire forms of merger or merger. Acquisition represents the acquisition of the ownership and management value of one company over another. Theory distinguishes in this case from property acquisitions in which the acquisition of the company's assets and capital acquisitions occurs, in which the acquisition of a decisive share in the voting rights of the company is obtained. Reasons for merger and acquisition are to gain more market share, restructure entities, improve balance of payments, and so on. The success of the merger and the acquisition confirms the emergence of a synergy effect. In determining the value of synergies in this article was used newly created Model H, which is based on a valuation of the business enterprise.

2

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.

3

Cho, Jane. "Study on eBook Acquisition Model based on Patron-Driven Acquisitions." Journal of the Korean BIBLIA Society for library and Information Science 26, no. 4 (December 30, 2015): 105–21. http://dx.doi.org/10.14699/kbiblia.2015.26.4.105.

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4

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.

5

Datta, Pratim, and Yaman Roumani. "Knowledge-acquisitions and post-acquisition innovation performance: a comparative hazards model." European Journal of Information Systems 24, no. 2 (March 2015): 202–26. http://dx.doi.org/10.1057/ejis.2014.32.

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6

Zhao, Lingya. "Analysis of LVMH Group's Business Operation Model and Marketing Strategy - A Case Study Based on Group Mergers and Acquisitions." Advances in Economics, Management and Political Sciences 53, no. 1 (December 1, 2023): 25–36. http://dx.doi.org/10.54254/2754-1169/53/20230781.

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This article aims to introduce the situation of LVMH Group and its industry-leading position in the global luxury goods market supply chain. Since its establishment, LVMH Group has expanded its business map through continuous acquisitions and expansion, leveraging its strong capabilities and strategic vision. The focus is on analyzing two acquisition cases carried out by LVMH: the Tiffany & Co. acquisition case and the Dior acquisition case. For these two cases, the background, motives, process, and key steps are introduced, and the effects and impacts of the acquisitions are discussed in depth. At the same time, a detailed analysis of LVMH's acquisition strategy is conducted, including acquisition targets, selection criteria, post-acquisition integration and management, etc. Finally, the research findings are summarized, and future development directions are proposed. Since the gradual control of the pandemic, the luxury goods market has witnessed a recovery in consumption and significant growth in sales. This article has certain reference values for understanding trends in the luxury goods industry, corporate strategies, and market competition.

7

Kjelland, Kimberly, Marlena Allen, Kimberly Holder, Amanda Jenny, Christy Roe, Heather Troutman, Holly Nieves, Traci Voils, and Martha Monroe. "The tiered skills acquisition model." Nursing Management 52, no. 9 (September 2021): 51–53. http://dx.doi.org/10.1097/01.numa.0000771756.09339.e2.

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8

Rusinkiewicz, Szymon, Olaf Hall-Holt, and Marc Levoy. "Real-time 3D model acquisition." ACM Transactions on Graphics 21, no. 3 (July 2002): 438–46. http://dx.doi.org/10.1145/566654.566600.

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9

Cibira, Gabriel, and Marcela Koščová. "Photovoltaic module parameters acquisition model." Applied Surface Science 312 (September 2014): 74–80. http://dx.doi.org/10.1016/j.apsusc.2014.05.080.

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10

Bernardini, Fausto, and Holly Rushmeier. "The 3D Model Acquisition Pipeline." Computer Graphics Forum 21, no. 2 (June 2002): 149–72. http://dx.doi.org/10.1111/1467-8659.00574.

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Дисертації з теми "Model acquisition":

1

Zurcher, James. "Model-based knowledge acquisition using adaptive piecewise linear models." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0018/NQ46956.pdf.

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2

Iiyama, Masaaki. "3D object model acquisition from silhouettes." 京都大学 (Kyoto University), 2006. http://hdl.handle.net/2433/64946.

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3

Campbell, N. D. F. "Automatic 3D model acquisition from uncalibrated images." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.597247.

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This work address all of the stages required to take a sequence of images of an object and recover a 3D model in order to produce as system that maximises automation and minimises the demands placed on the user. To that end we present a practical implementation of an automatic method for recovering the positions and properties of the cameras used to take a series of images using a textured ground-plane. We then offer two contributions to simplify the task of segmentation an object observed in multiple images. The first, applicable to more simple scenes, automatically segments the object fixated upon by the camera. We achieve this by iteratively exploiting the rigid structure of the scene, to perform the segmentation in 3D across all the images simultaneously, and the consistent appearance of the object. For more complex scenes we move to our second algorithm that allows the user to select the required object in an interaction manner whilst minimising demands on their time. We combine the different appearance and spatial constraints to produce a clustering problem to group regions across images that allows the user to label many images at the same time. Finally we present an automatic reconstruction algorithm that improve the performance of existing state-of-the-art methods to allow accurate models to be obtained from smaller image sequences. This takes the form of a filtering process that rejects erroneous depth estimates by considering multiple depth hypotheses and identifying the true depth or an unknown state using a 2D Markov Random Field framework.

4

Ingle, Nicholas. "A process model for acquisition integration success." Thesis, Heriot-Watt University, 2014. http://hdl.handle.net/10399/2856.

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On average over the last 30 years 50% of all mergers and acquisitions have failed, with a third of all these failures having been caused by poor integration. This study sets out to examine a potential solution to improve the chances of integration success. An evaluation of the published acquisition integration process models that had strategic alignment of the acquisition strategy at their core was carried out and these were found to be incomplete and deficient in various aspects, including integrating fit factors, defined process stages and their interconnectedness. A conceptual acquisition integration process model was developed, based on a review of the literature which was subsequently used to design an appropriate research methodology to enhance and validate this model. In subsequent field work a qualitative case study approach, incorporating interviews, documents and comparative data analysis, was undertaken using four organisations and sixteen interviews, to assess how those organisations carry out the integration process. The results were combined with the conceptual model to develop an interim integration process model. This model was subsequently tested on the previous case organisations through semi-structured interviews. The conceptual process model was re-appraised and an internal and a limited external validation study were carried out on the revised model. From this the final complete acquisition integration process model and acquisition planning and integration implementation ‘onion’ was developed that is both practical and empirically tested, albeit on a small sample set.

5

Cameron, Heather M. "Constraint satisfaction for interactive 3-D model acquisition." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/28937.

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More and more computer applications are using three-dimensional models for a variety of uses (e.g. CAD, graphics, recognition). A major bottleneck is the acquisition of these models. The easiest method for designing the models is to build them directly from images of the object being modelled. This paper describes the design of a system, MOLASYS (for MOdeL Acquisition SYStem), that allows the user to build object models interactively from underlying images. This would not only be easier for the user, but also more accurate as the models will be built directly satisfying the dimensions, shape, and other constraints present in the images. The object models are constructed by constraining model points and edges to match points in the image objects. The constraints are defined by the user and expressed using a Jacobian matrix of partial derivatives of the errors with respect to a set of camera and model parameters. MOLASYS then uses Newton's method to solve for corrections to the parameters that will reduce the errors specified in the constraints to zero. Thus the user describes how the system will change, and the program determines the best way to accomplish the desired changes. The above techniques, implemented in MOLASYS, have resulted in an intuitive and flexible tool for the interactive creation of three-dimensional models.
Science, Faculty of
Computer Science, Department of
Graduate

6

Swartzendruber, Kara Louise McDowell Kim. "The picture word inductive model and vocabulary acquisition." Diss., A link to full text of this thesis in SOAR, 2007. http://soar.wichita.edu/dspace/handle/10057/1178.

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Thesis (M.Ed.)--Wichita State University, College of Education, Dept. of Curriculum and Instruction.
"May 2007." Title from PDF title page (viewed on Dec. 29, 2007). Thesis adviser: Kim McDowell. Includes bibliographic references (leaves 42-46).

7

McQueen, Thomas. "STORM : an unsupervised connectionist model for language acquisition." Thesis, Nottingham Trent University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.429266.

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Language acquisition is one of the core problems in artificial intelligence. Current performance bottlenecks in natural language processing (NLP) systems result from a prerequisite for an incalculable amount oflanguage and domain-specific knowledge. Consequently, the creation of an automated language acquisition system would revolutionize the field of NLP. Connectionist models that learn by example (i.e. artificial neural networks) have been successfully applied to many areas of language acquisition. However, the most widely used class of these models, known as supervised connectionist models, have a number of major limitations, including an inability to represent variables and a limited ability to generalize from sparse data. Such limitations have prevented connectionist models from being applied to large-scale language acquisition. This research considers the alternative and less widely used class of unsupervised connectionist models and investigates whether such models can capture the finite-state properties of language. A novel unsupervised connectionist model, STORM (Spatio Temporal Self-Organizing Recurrent Map), is proposed that uses a memory-rule based approach to learn a regular grammar from a set of positive example sequences. STORM's learning algorithm uses a derivation of functional-equivalence theory that allows the model to learn via similarity of behaviour, rather than just similar of form. This novel functional generalization ability allows STORM to learn a perfect and stable representation of the Reber grammar from a sparse training set of just 30 sequences, as opposed to the 60,000 sequences required to train a supervised connectionist model. Unlike supervised models, once STORM has learnt the grammar it can generalize to test sequences of any length or depth of embedding. Extensions to the model are proposed to show how STORM can learn context-free grammars. These extensions also solve the logical problem of language acquisition by recovering from overgeneralizations without the need for negative evidence.

8

Walter, Michael. "Automatic model acquisition and recognition of human gestures." Thesis, University of Westminster, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434422.

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9

Adams, Richard. "The Advanced Data Acquisition Model (ADAM): A process model for digital forensic practice." Thesis, Adams, Richard (2012) The Advanced Data Acquisition Model (ADAM): A process model for digital forensic practice. PhD thesis, Murdoch University, 2012. https://researchrepository.murdoch.edu.au/id/eprint/14422/.

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Given the pervasive nature of information technology, the nature of evidence presented in court is now less likely to be paper-based and in most instances will be in electronic form . However, evidence relating to computer crime is significantly different from that associated with the more ‘traditional’ crimes for which, in contrast to digital forensics, there are well-established standards, procedures and models to which law courts can refer. The key problem is that, unlike some other areas of forensic practice, digital forensic practitioners work in a number of different environments and existing process models have tended to focus on one particular area, such as law enforcement, and fail to take into account the different needs of those working in other areas such as incident response or ‘commerce’. This thesis makes an original contribution to knowledge in the field of digital forensics by developing a new process model for digital data acquisition that addresses both the practical needs of practitioners working in different areas of the field and the expectation of law courts for a formal description of the process undertaken to acquire digital evidence. The methodology adopted for this research is design science on the basis that it is particularly suited to the task of creating a new process model and an ‘ideal approach’ in the problem domain of digital forensic evidence. The process model employed is the Design Science Research Process (DSRP) (Peffers, Tuunanen, Gengler, Rossi, Hui, Virtanen and Bragge, 2006) that has been widely utilised within information systems research. A review of current process models involving the acquisition of digital data is followed by an assessment of each of the models from a theoretical perspective, by drawing on the work of Carrier and Spafford (2003)1, and from a legal perspective by reference to the Daubert test2. The result of the model assessment is that none provide a description of a generic process for the acquisition of digital data, although a few models contain elements that could be considered for adaptation as part of a new model. Following the identification of key elements for a new model (based on the literature review and model assessment) the outcome of the design stage is a three-stage process model called the Advance Data Acquisition Model (ADAM) that comprises of three UML3 Activity diagrams, overriding Principles and an Operation Guide for each stage. Initial testing of the ADAM (the Demonstration stage from the DSRP) involves a ‘desk check’ using both in-house documentation relating to three digital forensic investigations and four narrative scenarios. The results of this exercise are fed back into the model design stage and alterations made as appropriate. The main testing of the model (the DSRP Evaluation stage) involves independent verification and validation of the ADAM utilising two groups of ‘knowledgeable people’. The first group, the Expert Panel, consists of international ‘subject matter experts’ from the domain of digital forensics. The second group, the Practitioner Panel, consists of peers from around Australia that are digital forensic practitioners and includes a representative from each of the areas of relevance for this research, namely: law enforcement, commerce and incident response. Feedback from the two panels is considered and modifications applied to the ADAM as appropriate. This thesis builds on the work of previous researchers and demonstrates how the UML can be practically applied to produce a generic model of one of the fundamental digital forensic processes, paving the way for future work in this area that could include the creation of models for other activities undertaken by digital forensic practitioners. It also includes the most comprehensive review and critique of process models incorporating the acquisition of digital forensics yet undertaken.

10

Ross, James P. "A risk management model for the Federal Acquisition Process/." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA368012.

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Анотація:

Thesis (M.S. in Management) Naval Postgraduate School, June 1999.
"June 1999". Thesis advisor(s): David A. Smith, Mark E. Nissen. Includes bibliographical references (p. 155-158). Also available online.

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Книги з теми "Model acquisition":

1

Flynn, Suzanne. A Parameter-Setting Model of L2 Acquisition. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3747-5.

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2

Satake, Nobuo. A computational model of first language acquisition. Singapore: World Scientific, 1990.

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3

Gallagher, Brian P. CMMI for acquisition: Guidelines for improving the acquisition of products and services. 2nd ed. Upper Saddle River, NJ: Addison-Wesley, 2011.

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4

Gallagher, Brian P. CMMI for acquisition: Guidelines for improving the acquisition of products and services. 2nd ed. Upper Saddle River, NJ: Addison-Wesley, 2011.

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5

Schmalhofer, F. Constructive knowledge acquisition: A computational model and experimental evaluation. Mahwah, N.J: Lawrence Erlbaum Associates, 1998.

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6

Gardner, Robert C. Motivation and second language acquisition: The socio-educational model. New York: Peter Lang, 2010.

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7

Jones, Michael. Automatic model acquisition for 3D object recognition and visualisation. Manchester: University of Manchester, 1995.

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8

Frankle, Diane Holt. Model merger agreement for the acquisition of a public company. Chicago: American Bar Assocation, Section of Business Law, 2011.

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9

Gaylard, Helen Louise. Phrase structure in a computational model of child language acquisition. Birmingham: University of Birmingham, 1995.

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10

Salaberry, M. Rafael. Marking past tense in second language acquisition: A theoretical model. London: Continuum, 2008.

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Частини книг з теми "Model acquisition":

1

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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2

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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3

Voß, Angi. "Model-based knowledge acquisition." In Lecture Notes in Computer Science, 256–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-53557-8_30.

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4

Cook, Vivian. "The Input Hypothesis Model." In Linguistics and Second Language Acquisition, 51–68. London: Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-22853-9_3.

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5

Ullman, Michael T. "The Declarative/Procedural Model." In Theories in Second Language Acquisition, 128–61. Third edition. | New York, NY: Routledge, 2020. | Series: Second language acquisition research: Routledge, 2020. http://dx.doi.org/10.4324/9780429503986-7.

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6

Wong, Kwan-Yee K., Paulo R. S. Mendonça, and Roberto Cipolla. "Head Model Acquisition from Silhouettes." In Lecture Notes in Computer Science, 787–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45129-3_73.

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7

Brazier, Frances, Jan Treur, and Niek Wijngaards. "The acquisition of a shared task model." In Advances in Knowledge Acquisition, 278–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61273-4_18.

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8

Neubert, Susanne. "Model Construction in MIKE (Model based and Incremental Knowledge Engineering)." In Knowledge Acquisition for Knowledge-Based Systems, 200–219. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57253-8_55.

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9

Neubert, Susanne, and Rudi Studer. "The KEEP model, a knowledge engineering process model." In Current Developments in Knowledge Acquisition — EKAW '92, 230–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55546-3_43.

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10

Benjamins, Richard, and Manfred Aben. "A conceptual and formal model of a diagnostic reasoner." In Advances in Knowledge Acquisition, 82–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61273-4_6.

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Тези доповідей конференцій з теми "Model acquisition":

1

Nazaruks, Vladislavs, and Jānis Osis. "Vision of the TFM-driven Code Acquisition." In Special Session on Model-Driven Innovations for Software Engineering. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007843306170624.

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2

Luzeaux, Dominique, and Bertrand Zavidovique. "Acquisition of a qualitative model." In the third international conference. New York, New York, USA: ACM Press, 1990. http://dx.doi.org/10.1145/98784.98864.

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3

Rusinkiewicz, Szymon, Olaf Hall-Holt, and Marc Levoy. "Real-time 3D model acquisition." In the 29th annual conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/566570.566600.

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4

Zhang, Jinxin. "Acquisition capability: A conceptual model." In 2011 International Conference on E-Business and E-Government (ICEE). IEEE, 2011. http://dx.doi.org/10.1109/icebeg.2011.5882771.

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5

Song, Kunhao. "Does the Acquisition of SolarCity Benefit Tesla's Shareholders?" In 2019 International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2019. http://dx.doi.org/10.1109/icemme49371.2019.00112.

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6

Chang, T., L. Canales, C. W. Kue, and C.-C. Shih. "Model Based Illumination for Acquisition Design." In 62nd EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 2000. http://dx.doi.org/10.3997/2214-4609-pdb.28.b8.

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7

Weigelt, Sebastian, Tobias Hey, and Walter F. Tichy. "Context Model Acquisition from Spoken Utterances." In The 29th International Conference on Software Engineering and Knowledge Engineering. KSI Research Inc. and Knowledge Systems Institute Graduate School, 2017. http://dx.doi.org/10.18293/seke2017-083.

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8

Collins, Robert, Chris Jaynes, Frank Stolle, Xiaoguang Wang, Yong-Qing Cheng, Allen R. Hanson, and Edward M. Riseman. "System for automated site model acquisition." In SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, edited by David M. McKeown, Jr. and Ian J. Dowman. SPIE, 1995. http://dx.doi.org/10.1117/12.213124.

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9

Casasent, David, and Andrew J. Lee. "Model-Based Satellite Acquisition And Tracking." In Robotics and IECON '87 Conferences, edited by David P. Casasent and Ernest L. Hall. SPIE, 1988. http://dx.doi.org/10.1117/12.942736.

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10

da Silva, Matheus Santana, Ulysses Sodre, and Rodolfo Miranda de Barros. "GAIA Venalium: Model for software acquisition." In 2017 12th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2017. http://dx.doi.org/10.23919/cisti.2017.7975838.

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Звіти організацій з теми "Model acquisition":

1

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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2

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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3

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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4

Bauer, Louis M., and Marc M. Meeker. An Acquisition Leader's Model for Building Collaborative Capacity. Fort Belvoir, VA: Defense Technical Information Center, December 2011. http://dx.doi.org/10.21236/ada558245.

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5

Cooper, Jack, and Matthew Fisher. Software Acquisition Capability Maturity Model (SA-CMM) Version 1.03. Fort Belvoir, VA: Defense Technical Information Center, March 2002. http://dx.doi.org/10.21236/ada399794.

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6

Cooper, Jack, Matthew Fisher, and S. W. Sherer. Software Acquisition Capability Maturity Model (SA-CMM) Version 1.02. Fort Belvoir, VA: Defense Technical Information Center, April 1999. http://dx.doi.org/10.21236/ada362667.

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7

Jones, Randolph M., and Kurt VanLehn. A Computation Model of Acquisition for Children's Addition Strategies. Fort Belvoir, VA: Defense Technical Information Center, September 1991. http://dx.doi.org/10.21236/ada240507.

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8

Collins, Robert, Edward Riseman, and Allen Hanson. A System for Automated Sight Model Acquisition and Extension - RADIUS. Fort Belvoir, VA: Defense Technical Information Center, June 1995. http://dx.doi.org/10.21236/ada296870.

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9

Rubinstein, Judith. Study of the Light Utility Helicopter (LUH) Acquisition Program as a Model for Defense Acquisition of Nondevelopmental Items. Fort Belvoir, VA: Defense Technical Information Center, December 2014. http://dx.doi.org/10.21236/ada620879.

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10

Ferguson, Jack R., Lawrence G. Jones, and Jan Philpot. Software Acquisition Capability Maturity Model SM. Pilot Appraisal Report, Version 1.0. Fort Belvoir, VA: Defense Technical Information Center, November 1996. http://dx.doi.org/10.21236/ada319072.

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