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Innovations in Machine Learning: Theory and Applications (Studies in Fuzziness and Soft Computing, 194)

Dawn E. Holmes
4.9/5 (32945 ratings)
Description:Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Innovations in Machine Learning: Theory and Applications (Studies in Fuzziness and Soft Computing, 194). To get started finding Innovations in Machine Learning: Theory and Applications (Studies in Fuzziness and Soft Computing, 194), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
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Release
ISBN
3540306099

Innovations in Machine Learning: Theory and Applications (Studies in Fuzziness and Soft Computing, 194)

Dawn E. Holmes
4.4/5 (1290744 ratings)
Description: Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Innovations in Machine Learning: Theory and Applications (Studies in Fuzziness and Soft Computing, 194). To get started finding Innovations in Machine Learning: Theory and Applications (Studies in Fuzziness and Soft Computing, 194), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
3540306099

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