9783662456514-3662456516-Machine Learning and Cybernetics: 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings (Communications in Computer and Information Science, 481)

Machine Learning and Cybernetics: 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings (Communications in Computer and Information Science, 481)

ISBN-13: 9783662456514
ISBN-10: 3662456516
Edition: 2014
Author: Witold Pedrycz, Qiang He, Patrick Chan, Xizhao Wang
Publication date: 2014
Publisher: Springer
Format: Paperback 476 pages
FREE US shipping
Buy

From $16.50

Book details

ISBN-13: 9783662456514
ISBN-10: 3662456516
Edition: 2014
Author: Witold Pedrycz, Qiang He, Patrick Chan, Xizhao Wang
Publication date: 2014
Publisher: Springer
Format: Paperback 476 pages

Summary

Machine Learning and Cybernetics: 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings (Communications in Computer and Information Science, 481) (ISBN-13: 9783662456514 and ISBN-10: 3662456516), written by authors Witold Pedrycz, Qiang He, Patrick Chan, Xizhao Wang, was published by Springer in 2014. With an overall rating of 3.5 stars, it's a notable title among other books. You can easily purchase or rent Machine Learning and Cybernetics: 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings (Communications in Computer and Information Science, 481) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Cybernetics, Lanzhou, China, in July 2014. The 45 revised full papers presented were carefully reviewed and selected from 421 submissions. The papers are organized in topical sections on classification and semi-supervised learning; clustering and kernel; application to recognition; sampling and big data; application to detection; decision tree learning; learning and adaptation; similarity and decision making; learning with uncertainty; improved learning algorithms and applications.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book