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Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques

Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques

Siddhivinayak Kulkarni
Copyright: © 2012 |Pages: 464
ISBN13: 9781466618336|ISBN10: 1466618337|EISBN13: 9781466618343
DOI: 10.4018/978-1-4666-1833-6
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MLA

Kulkarni, Siddhivinayak, editor. Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques. IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1833-6

APA

Kulkarni, S. (Ed.). (2012). Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques. IGI Global. https://doi.org/10.4018/978-1-4666-1833-6

Chicago

Kulkarni, Siddhivinayak, ed. Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1833-6

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Machine learning is an emerging area of computer science that deals with the design and development of new algorithms based on various types of data.

Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.

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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Editorial Advisory Board
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Preface
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Acknowledgment
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Chapters
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Chapter 1
Machine Learning Applications
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Computational Intelligence Techniques and Applications
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Miscellaneous Techniques in Machine Learning
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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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