Kniha Lazy Learning David W. Aha

Lazy Learning

Autor: David W. Aha
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
3 426
This edited collection describes recent progress on lazy learning, a branch of machine learning conc...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2010
Stránek
424
EAN
9789048148608
ISBN
904814860X
Enbook ID
06999150
Vydavatel
Hmotnost
1058
Rozměry
210 x 279 x 24

Kompletní popis

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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