Lazy Learning (Paperback) (ISBN-13: 9789048148608)

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.

Author: David W. AHA
ISBN-10: 904814860X
ISBN-13: 9789048148608
Publisher: Springer
Language: English
Published: 12/01/2010
Pages: 424
Format: Paperback
Weight: 1.31lbs
Size: 9.21h x 6.14w x 0.87d