Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems

Sholom M. Weiss et Casimir A. Kulikowski

ISBN 10: 1558600655 / ISBN 13: 9781558600652

Editore: Morgan Kaufmann Publishers In, 1990

Ancien livre de bibliothèque. Traces d'usure sur la couverture. Edition 1990. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Signs of wear on the cover. Edition 1990. Ammareal gives back up to 15% of this item's net price to charity organizations. Codice articolo E-594-414

Riassunto:

This book is a practical guide to classification learning systems and their applications. These computer programs learn from sample data and make predictions for new cases, sometimes exceeding the performance of humans.

Practical learning systems from statistical pattern recognition, neural networks, and machine learning are presented. The authors examine prominent methods from each area, using an engineering approach and taking the practitioner's viewpoint. Intuitive explanations with a minimum of mathematics make the material accessible to anyone--regardless of experience or special interests.

The underlying concepts of the learning methods are discussed with fully worked-out examples: their strengths and weaknesses, and the estimation of their future performance on specific applications. Throughout, the authors offer their own recommendations for selecting and applying learning methods such as linear discriminants, back-propagation neural networks, or decision trees. Learning systems are then contrasted with their rule-based counterparts from expert systems.

Product Description: Book by Weiss Sholom M Kulikowski Casimir A

Dati bibliografici

Titolo: Computer Systems That Learn: Classification ...
Casa editrice: Morgan Kaufmann Publishers In
Data di pubblicazione: 1990
Legatura: Hardcover
Condizione: Bon