Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10053)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: MIWAI 2016.
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About this book
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.
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Keywords
- computer vision
- evolutionary algorithm
- fuzzy logic
- knowledge representation and reasoning
- machine translation
- modeling and simulation
- natural language processing
- particle swarm optimization
- probabilistic reasoning algorithms
- search methodologies
- shortest path
- topic modeling
- Web services
- planning and scheduling
- algorithm analysis and problem complexity
Table of contents (27 papers)
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Regular Papers
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Short Papers
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Front Matter
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Back Matter
Other volumes
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Multi-disciplinary Trends in Artificial Intelligence
Editors and Affiliations
Bibliographic Information
Book Title: Multi-disciplinary Trends in Artificial Intelligence
Book Subtitle: 10th International Workshop, MIWAI 2016, Chiang Mai, Thailand, December 7-9, 2016, Proceedings
Editors: Chattrakul Sombattheera, Frieder Stolzenburg, Fangzhen Lin, Abhaya Nayak
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-49397-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2016
Softcover ISBN: 978-3-319-49396-1Published: 10 November 2016
eBook ISBN: 978-3-319-49397-8Published: 30 November 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXIII, 314
Number of Illustrations: 82 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Image Processing and Computer Vision, Algorithm Analysis and Problem Complexity, Information Systems Applications (incl. Internet), Pattern Recognition