Overview
- Recent research in soft computing in machine learning
- Scientific outcome of the 14th International Symposium on Advanced Intelligent Systems (ISIS2013), held on November 13 - 16, 2013 at PaiChai University in Daejeon, Korea focusing on Soft Computing in Machine Learning
- Written by experts in the field
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 273)
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Table of contents (11 papers)
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Front Matter
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Back Matter
Keywords
About this book
As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the most critical components in everyday tools ranging from search engines and credit card fraud detection to stock market analysis. You can train machines to perform some things, so that they can automatically detect, diagnose, and solve a variety of problems. The intelligent systems have made rapid progress in developing the state of the art in machine learning based on smart and deep perception. Using machine learning, the intelligent systems make widely applications in automated speech recognition, natural language processing, medical diagnosis, bioinformatics, and robot locomotion. This book aims at introducing how to treat a substantial amount of data, to teach machines and to improve decision making models. And this book specializes in the developments of advanced intelligent systems through machine learning. It consists of 11 contributions that features illumination change detection, generator of electronic educational publications, intelligent call triage system, recognition of rocks at uranium deposits, graphics processing units, mathematical model of hit phenomena, selection and mutation in genetic algorithm, hands and arms motion estimation, application of wavelet network, Kanizsa triangle illusion, and support vector machine regression. Also, it describes how to apply the machine learning for the intelligent systems. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and verifications.
Editors and Affiliations
Bibliographic Information
Book Title: Soft Computing in Machine Learning
Editors: Sang-Yong Rhee, Jooyoung Park, Atsushi Inoue
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-05533-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-05532-9Published: 19 March 2014
eBook ISBN: 978-3-319-05533-6Published: 08 July 2014
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: X, 117
Number of Illustrations: 54 b/w illustrations, 15 illustrations in colour