Cost-sensitive specialization

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Abstract

Cost-sensitive specialization is a generic technique for misclassification cost sensitive induction. This technique involves specializing aspects of a classifier associated with high misclassification costs and generalizing those associated with low misclassification costs. It is widely applicable and simple to implement. It could be used to augment the effect of standard cost-sensitive induction techniques. It should directly extend to test application cost sensitive induction tasks. Experimental evaluation demonstrates consistent positive effects over a range of misclassification cost sensitive learning tasks.

Original languageEnglish
Title of host publicationPRICAI 1996
Subtitle of host publicationTopics in Artificial Intelligence - 4th Pacific Rim International Conference on Artificial Intelligence, Proceedings
EditorsNorman Foo, Randy Goebel
PublisherSpringer
Pages23-34
Number of pages12
ISBN (Print)3540615326, 9783540615323
DOIs
Publication statusPublished - 1 Jan 1996
Externally publishedYes
EventPacific Rim International Conference on Artificial Intelligence 1996 - Cairns, Australia
Duration: 26 Aug 199630 Aug 1996
Conference number: 4th
https://link.springer.com/book/10.1007/3-540-61532-6 (Proceedings)

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1114
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferencePacific Rim International Conference on Artificial Intelligence 1996
Abbreviated titlePRICAI 1996
CountryAustralia
CityCairns
Period26/08/9630/08/96
Internet address

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