Innovations in Machine Learning: Theory and Applications

✍ Scribed by Holmes D. E., Jain L. C. (Ed)

Year: 2006
Tongue: English
Leaves: 284
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

"Machine learning is currently one of the most rapidly growing areas of research in computer science. 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.

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