Computing Attitude and Affect in Text: Theory and Applications, James G. Shanahan; Yan Qu; Janyce Wiebe

Автор: Zadeh
Название: Recent Developments and New Direction in Soft-Computing Foundations and Applications
ISBN: 3319322273 ISBN-13(EAN): 9783319322278
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This book reports on advancedtheories and cutting-edge applications in the field of soft computing. Theindividual chapters, written by leading researchers, are based on contributionspresented during the 4th World Conference on Soft Computing, held May 25-27,2014, in Berkeley. The book covers a wealth of key topics in soft computing,focusing on both fundamental aspects and applications. The former include fuzzymathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregationand neural networks, while the latter include soft computing in data analysis,image processing, decision-making, classification, series prediction,economics, control, and modeling. By providing readers with a timely,authoritative view on the field, and by discussing thought-provokingdevelopments and challenges, the book will foster new research directions inthe diverse areas of soft computing.

Автор: Rafael A. Calvo; Sidney K. D`Mello
Название: New Perspectives on Affect and Learning Technologies
ISBN: 1461429935 ISBN-13(EAN): 9781461429937
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Affective Prospecting integrates theoretical perspectives on learning with recent research in affective computing. These new perspectives are based on new research on emotion, cognition, and motivation applied to learning environments, Multimodal Human Computer Interfaces, and more.

Автор: Raghavan, Vijay V
Название: Cognitive Computing: Theory and Applications,35
ISBN: 0444637443 ISBN-13(EAN): 9780444637444
Издательство: Elsevier Science
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Цена: 30823.00 р.
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Описание:

Cognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its theory and applications, including the use of cognitive computing to manage renewable energy, the environment, and other scarce resources, machine learning models and algorithms, biometrics, Kernel Based Models for transductive learning, neural networks, graph analytics in cyber security, neural networks, data driven speech recognition, and analytical platforms to study the brain-computer interface.