Application of Artificial Intelligence to Assessment, Hong Jiao, Robert W. Lissitz
Автор: Cullen Pauline Название: The Official Cambridge Guide to IELTS Student`s Book with Answer ISBN: 1107620694 ISBN-13(EAN): 9781107620698 Издательство: Cambridge University Press Рейтинг: Цена: 10831.00 р. Наличие на складе: Есть (2 шт.) Описание: Perfect for students at band 4.0 and above, this study guide has EVERYTHING you need to prepare for IELTS Academic or General Training.
Описание: Authentic examination papers from Cambridge Assessment English provide perfect practice because they are EXACTLY like the real test.
Автор: May Peter Название: First Trainer Six Practice Tests with Answers with Audio ISBN: 1107470188 ISBN-13(EAN): 9781107470187 Издательство: Cambridge University Press Рейтинг: Цена: 9330.00 р. Наличие на складе: Есть (1 шт.) Описание: Six full practice tests with tips and training for the 2015 revised Cambridge English: First (FCE).
Автор: Brook-Hart Guy Название: Complete Advanced Student`s Book with Answers ISBN: 110767090X ISBN-13(EAN): 9781107670907 Издательство: Cambridge University Press Рейтинг: Цена: 8943.00 р. Наличие на складе: Поставка под заказ.
Описание: Complete Advanced provides thorough preparation for the revised 2015 Cambridge English: Advanced (CAE) exam.
Описание: Authentic examination papers from Cambridge Assessment English provide perfect practice because they are EXACTLY like the real test. IELTS 11 Academic delivers FOUR complete examination papers plus details of the different parts of the test and the scoring system, so you familiarise yourself with the test format and practise your exam technique. The book comes with answers, tape scripts and sample writing answers. Use the access code on the inside front cover to download the audio for the Listening tests. These tests are also available as IELTS Academic Tests 1-4 on Testbank.org.uk.
Автор: Hong Jiao, Robert W. Lissitz Название: Application of Artificial Intelligence to Assessment ISBN: 1641139528 ISBN-13(EAN): 9781641139526 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 13167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing.
Описание: Objective Proficiency Second edition provides official preparation for the revised 2013 Cambridge English: Proficiency exam, also known as Certificate of Proficiency in English (CPE).
Описание: Authentic examination papers from Cambridge Assessment English provide perfect practice because they are EXACTLY like the real test.
Автор: Millington, Ian, Funge, John Название: Artificial Intelligence for Games ISBN: 0123747317 ISBN-13(EAN): 9780123747310 Издательство: Taylor&Francis Рейтинг: Цена: 10870.00 р. Наличие на складе: Нет в наличии.
Описание: Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques.<br><br>"Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games). <br><br>* The first comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industry experience.<br>* Walks through the entire development process from beginning to end.<br>* Includes examples from over 100 real games, 10 in-depth case studies, and web site with sample code.
Описание: In this report, the authors assess the state of artificial intelligence (AI) relevant to DoD and address misconceptions about it; conduct an independent and introspective assessment of the Department of Defense's posture in AI; and put forth a set of recommendations for internal actions, external engagements, and potential legislative or regulatory actions that could enhance the Department of Defense posture in AI.
Автор: J.-J. Ch. Meyer, W. van der Hoek Название: Epistemic Logic for AI and Computer Science ISBN: 0521602807 ISBN-13(EAN): 9780521602808 Издательство: Cambridge Academ Рейтинг: Цена: 9504.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, based on courses taught at universities and summer schools, provides a broad introduction to the subject; many exercises are included with their solutions.
Описание: A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the ""average."" From early representations in the brain, to highly abstracted class categories in machine learning for classification tasks, central-tendency models based on the Gaussian distribution are a seemingly natural and obvious choice for modeling sensory data. However, insights from neuroscience, psychology, and computer vision suggest an alternate strategy: preferentially focusing representational resources on the extremes of the distribution of sensory inputs. The notion of treating extrema near a decision boundary as features is not necessarily new, but a comprehensive statistical theory of recognition based on extrema is only now just emerging in the computer vision literature. This book begins by introducing the statistical Extreme Value Theory (EVT) for visual recognition. In contrast to central-tendency modeling, it is hypothesized that distributions near decision boundaries form a more powerful model for recognition tasks by focusing coding resources on data that are arguably the most diagnostic features. EVT has several important properties: strong statistical grounding, better modeling accuracy near decision boundaries than Gaussian modeling, the ability to model asymmetric decision boundaries, and accurate prediction of the probability of an event beyond our experience. The second part of the book uses the theory to describe a new class of machine learning algorithms for decision making that are a measurable advance beyond the state-of-the-art. This includes methods for post-recognition score analysis, information fusion, multi-attribute spaces, and calibration of supervised machine learning algorithms.
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