Computational Learning Theory and Natural Learning Systems: Selecting good models

Computational Learning Theory and Natural Learning Systems: Selecting good models
Author :
Publisher : Bradford Books
Total Pages : 448
Release :
ISBN-10 : UCSD:31822021521661
ISBN-13 :
Rating : 4/5 (61 Downloads)

Book Synopsis Computational Learning Theory and Natural Learning Systems: Selecting good models by : Stephen José Hanson

Download or read book Computational Learning Theory and Natural Learning Systems: Selecting good models written by Stephen José Hanson and published by Bradford Books. This book was released on 1994 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume I of the series introduces the general focus of the workshops. Volume II looks at specific areas of interaction between theory and experiment. Volumes III and IV focus on key areas of learning systems that have developed recently. Volume III looks at the problem of "Selecting Good Models." The present volume, Volume IV, looks at ways of "Making Learning Systems Practical." The editors divide the twenty-one contributions into four sections. The first three cover critical problem areas: 1) scaling up from small problems to realistic ones with large input dimensions, 2) increasing efficiency and robustness of learning methods, and 3) developing strategies to obtain good generalization from limited or small data samples. The fourth section discusses examples of real-world learning systems.


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