Kniha Lazy Learning David W. Aha

Lazy Learning

Autor: David W. Aha
Jazyk: Angličtina
Vazba: Pevná
Vydavatel: Springer
Dostupnost: Skladem u dodavatele
Odesíláme za 10-13 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 - Pevná
Vydáno
1997
Stránek
424
EAN
9780792345848
ISBN
0792345843
Enbook ID
05250458
Vydavatel
Hmotnost
1720
Rozměry
155 x 235 x 28

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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