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Lazy Learning
David W. . Ed(S): Aha
€ 188.76
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Description for Lazy Learning
Paperback. Editor(s): Aha, David W. Num Pages: 424 pages, biography. BIC Classification: UYQM. Category: (P) Professional & Vocational. Dimension: 279 x 210 x 22. Weight in Grams: 1058.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2010
Publisher
Springer Netherlands
Number of pages
424
Condition
New
Number of Pages
424
Place of Publication
Dordrecht, Netherlands
ISBN
9789048148608
SKU
V9789048148608
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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