Innovations in Machine Learning Theory and Applications

Innovations in Machine Learning Theory and Applications / edited by Dawn E. Holmes.

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, neura...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Holmes, Dawn E. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edition:1st ed. 2006.
Series:Studies in Fuzziness and Soft Computing, 194
Springer eBook Collection.
Subjects:
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Electronic resources (E-books)
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