Skip to main content alibris logo

Innovations in Machine Learning: Theory and Applications

by

Write The First Customer Review
Innovations in Machine Learning: Theory and Applications - Holmes, Dawn E. (Editor)
Filter Results
Item Condition
Seller Rating
Other Options
Change Currency

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 ...

loading
Innovations in Machine Learning: Theory and Applications 2010, Springer-Verlag Berlin and Heidelberg GmbH & Co. K, Berlin

ISBN-13: 9783642067884

Paperback

Innovations in Machine Learning: Theory and Applications 2006, Springer, Berlin, Heidelberg

ISBN-13: 9783540306092

2006 edition

Hardcover