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Handbook of Research on Machine Learning Innovations and Trends

Handbook of Research on Machine Learning Innovations and Trends

Aboul Ella Hassanien, Tarek Gaber
Copyright: © 2017 |Pages: 1093
ISBN13: 9781522522294|ISBN10: 1522522298|EISBN13: 9781522522300
DOI: 10.4018/978-1-5225-2229-4
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MLA

Hassanien, Aboul Ella, and Tarek Gaber, editors. Handbook of Research on Machine Learning Innovations and Trends. IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2229-4

APA

Hassanien, A. E. & Gaber, T. (Eds.). (2017). Handbook of Research on Machine Learning Innovations and Trends. IGI Global. https://doi.org/10.4018/978-1-5225-2229-4

Chicago

Hassanien, Aboul Ella, and Tarek Gaber, eds. Handbook of Research on Machine Learning Innovations and Trends. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2229-4

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Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the overall probability of technological progression.

The Handbook of Research on Machine Learning Innovations and Trends is a key resource on the latest advances and research regarding the vast range of advanced systems and applications involved in machine intelligence. Highlighting multidisciplinary studies on decision theory, intelligent search, and multi-agent systems, this publication is an ideal reference source for professionals and researchers working in the field of machine learning and its applications.

Table of Contents

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Front Materials
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Title Page
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Copyright Page
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Advances in Computational Intelligence and Robotics (ACIR) Book Series
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Preface
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Chapters
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Chapter 1
State-of-the-Art Techniques
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Chapter 2
Applications-Based Machine Learning
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Chapter 3
Innovative ML Applications
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Back Materials
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Compilation of References
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About the Contributors
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Index
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