Multi-disciplinary Trends in Artificial Intelligence: 10th International Workshop, MIWAI 2016, Chiang Mai, Thailand, December 7-9, 2016, Proceedings

Multi-disciplinary Trends in Artificial Intelligence: 10th International Workshop, MIWAI 2016, Chiang Mai, Thailand, December 7-9, 2016, Proceedings

Multi-disciplinary Trends in Artificial Intelligence: 10th International Workshop, MIWAI 2016, Chiang Mai, Thailand, December 7-9, 2016, Proceedings

Multi-disciplinary Trends in Artificial Intelligence: 10th International Workshop, MIWAI 2016, Chiang Mai, Thailand, December 7-9, 2016, Proceedings

eBook1st ed. 2016 (1st ed. 2016)

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Overview

This book constitutes the refereed conference proceedings of the 10th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2016, held in Chiang Mai, Thailand, in December 2016.

The 22 revised full papers presented together with 5 short papers and 2 abstracts of invited talks were carefully reviewed and selected from 50 submissions. The workshop solicits papers from all areas of AI including cognitive science; computational intelligence; computational philosophy; game theory; machine learning; multi-agent systems; natural language; representation and reasoning; speech; vision and the web; as well as applications of AI in big data; bioinformatics; biometrics; decision support; e-commerce; image processing; analysis and retrieval; industrial applications; knowledge management; privacy; recommender systems; security; software engineering; spam filtering; surveillance; telecommunications; and web services.


Product Details

ISBN-13: 9783319493978
Publisher: Springer-Verlag New York, LLC
Publication date: 11/30/2016
Series: Lecture Notes in Computer Science , #10053
Sold by: Barnes & Noble
Format: eBook
File size: 6 MB

Table of Contents

Cognitive science.- Computational intelligence.- Computational philosophy.- Game theory.- Machine learning.- Multi-agent systems.- Natural language.- Representation and reasoning.- Speech.- Vision and the web.- Applications of AI in big data; Bioinformatics.- Biometrics.- Decision support.- E-commerce.- Image processing.- Analysis and retrieval.- Industrial applications.- Knowledge management.- Privacy.- Recommender systems.- Security.- Software engineering.- Spam filtering.- Surveillance.- Telecommunications.- Web services.

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