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.
|Title of host publication||Innovations in machine learning|
|Subtitle of host publication||theory and applications|
|Place of Publication||Berlin, Germany|
|Publisher||Springer, Springer Nature|
|Number of pages||17|
|Publication status||Published - 2006|
|Name||Studies in fuzziness and soft computing|