Machine Learning and Cybernetics: 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings
Author:   Xizhao Wang ,  Witold Pedrycz ,  Patrick Chan ,  Qiang He
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2014 ed.
Volume:   481
ISBN:  

9783662456514


Pages:   462
Publication Date:   17 December 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Machine Learning and Cybernetics: 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings


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Overview

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.

Full Product Details

Author:   Xizhao Wang ,  Witold Pedrycz ,  Patrick Chan ,  Qiang He
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2014 ed.
Volume:   481
Dimensions:   Width: 15.50cm , Height: 2.40cm , Length: 23.50cm
Weight:   7.139kg
ISBN:  

9783662456514


ISBN 10:   3662456516
Pages:   462
Publication Date:   17 December 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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