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Part 3 (Chapters 11-16) introduces some advanced topics, covering feature selection and sparse learning, computational learning theory, semi-supervised learning, probabilistic graphical models, rule learning, and reinforcement learning.
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The two-volume set CCIS 1491 and 1492 constitutes the refereed post-conferenceproceedings of the 16th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2021, held in Xiangtan, China, November 26–28, 2021.
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This book presents the advances in AI techniques under the umbrella of Intelligent Computing. The book provides theoretical, algorithmic, simulation, and implementation-based recent research advancements related to the Intelligent Computing.
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Belief revision is a topic of much interest in theoretical computer science and logic, and it forms a central problem in research into artificial intelligence. This book contains a... Læs mere
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Baral shows how to write programs that behave intelligently, by giving them the ability to express knowledge and to reason. This book will appeal to practising and would-be knowledge engineers wishing to learn more about the subject in courses or through self-teaching.
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Description logics are knowledge representation formalisms that are highly relevant in computer science, knowledge representation and the semantic web. This is the... Læs mere
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Explains how knowledge management and corporate integrity intersect. This book... Læs mere