David W. Aha 
Lazy Learning [PDF ebook] 

Destek

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.

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Dil İngilizce ● Biçim PDF ● ISBN 9789401720533 ● Editör David W. Aha ● Yayımcı Springer Netherlands ● Yayınlanan 2013 ● İndirilebilir 3 kez ● Döviz EUR ● Kimlik 4597287 ● Kopya koruma Adobe DRM
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