ENGLISH

Lazy Learning

By David W. Aha (auth.) , David W. Aha (eds.)

Book information

Publisher
Springer Netherlands
Year
1997
ISBN
978-90-481-4860-8, 978-94-017-2053-3
DOI
10.1007/978-94-017-2053-3
Language
english
Format
PDF
Filesize
37 MB (38812634 bytes)
Edition
1
Pages
424\421
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Artificial Intelligence (incl. Robotics)

Description

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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