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Book synopsis

This edited collection describes recent progress on lazy learning, a branch of machine learning concerning algorithms that defer the processing of their inputs, reply to information requests by combining stored data, and typically discard constructed replies. It is the first edited volume in AI on this topic, whose many synonyms include `instance-based', `memory-based'. `exemplar-based', and `local learning', and whose topic intersects case-based reasoning and edited k-nearest neighbor classifiers. It is intended for AI researchers and students interested in pursuing recent progress in this branch of machine learning, but, due to the breadth of its contributions, it should also interest researchers and practitioners of data mining, case-based reasoning, statistics, and pattern recognition.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Lazy Learning
• Author: David W. Aha
• Language: English
• Binding: Paperback
• Number of pages: 424
• EAN: 9789048148608
• ISBN: 904814860X
• ID: 06999150
• Publisher: Springer
• Weight: 1058 g
• Dimensions: 279 × 210 × 24 mm
• Date of publishing: 01. December 2010

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