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Computational Learning and Probabilistic Reasoning
Gammerman
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Description for Computational Learning and Probabilistic Reasoning
Hardcover. This text is devoted to two interrelated techniques used in solving some important problems in machine intelligence and pattern recognition. Editor(s): Gammerman, A. Num Pages: 338 pages, Illustrations. BIC Classification: PBT; UYA; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 257 x 183 x 25. Weight in Grams: 776.
Providing a unified coverage of the latest research and applications methods and techniques, this book is devoted to two interrelated techniques for solving some important problems in machine intelligence and pattern recognition, namely probabilistic reasoning and computational learning. The contributions in this volume describe and explore the current developments in computer science and theoretical statistics which provide computational probabilistic models for manipulating knowledge found in industrial and business data. These methods are very efficient for handling complex problems in medicine, commerce and finance. Part I covers Generalisation Principles and Learning and describes several new inductive principles and techniques used in ... Read more
Providing a unified coverage of the latest research and applications methods and techniques, this book is devoted to two interrelated techniques for solving some important problems in machine intelligence and pattern recognition, namely probabilistic reasoning and computational learning. The contributions in this volume describe and explore the current developments in computer science and theoretical statistics which provide computational probabilistic models for manipulating knowledge found in industrial and business data. These methods are very efficient for handling complex problems in medicine, commerce and finance. Part I covers Generalisation Principles and Learning and describes several new inductive principles and techniques used in ... Read more
Product Details
Format
Hardback
Publication date
1996
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
338
Condition
New
Number of Pages
338
Place of Publication
New York, United States
ISBN
9780471962793
SKU
V9780471962793
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Gammerman
A. Gammerman is the editor of Computational Learning and Probabilistic Reasoning, published by Wiley.
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