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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.
About the Author:
Sholom M. Weiss is a professor of computer science at Rutgers University and the author of dozens of research papers on data mining and knowledge-based systems. He is a fellow of the American Association for Artificial Intelligence, serves on numerous editorial boards of scientific journals, and has consulted widely on the commercial application of advanced data mining techniques. He is the author, with Casimir Kulikowski, of Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems, which is also available from Morgan Kaufmann Publishers.
Title: Computer Systems That Learn: Classification ...
Publisher: Morgan Kaufmann
Publication Date: 1990
Binding: Hardcover
Condition: Very Good
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Hardcover. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 1.2. Seller Inventory # G1558600655I2N00
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Seller: Robinson Street Books, IOBA, Binghamton, NY, U.S.A.
Hardcover w/ D. Condition: Good. Prompt Shipment, shipped in Boxes, Tracking PROVIDEDComputing: General: GOOD HARDCOVER WITH DUST JACKET, CLEAN PAGES, PROMPT SHIPPING WITH TRACKING. Seller Inventory # lower32KG044
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Seller: Ammareal, Morangis, France
Hardcover. Condition: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Traces d'humidité sur les pages. Couverture différente. 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. Slight signs of wear on the cover. Traces of humidity on the pages. Different cover. Edition 1990. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # E-598-291
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Seller: Ammareal, Morangis, France
Hardcover. Condition: Bon. 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. Seller Inventory # E-594-414
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Seller: The Book Spot, Sioux Falls, MN, U.S.A.
Hardcover. Condition: New. Seller Inventory # Abebooks380534
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Hardcover. Condition: Like New. Like New. book. Seller Inventory # D8S0-3-M-1558600655-6
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Seller: Toscana Books, AUSTIN, TX, U.S.A.
Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Seller Inventory # Scanned1558600655
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