Cost-sensitive specialization

Geoffrey I. Webb

doi:10.1007/3-540-61532-6_3

Cost-sensitive specialization

Geoffrey I. Webb

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

13 Citations (Scopus)

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 language	English
Title of host publication	PRICAI 1996
Subtitle of host publication	Topics in Artificial Intelligence - 4th Pacific Rim International Conference on Artificial Intelligence, Proceedings
Editors	Norman Foo, Randy Goebel
Publisher	Springer
Pages	23-34
Number of pages	12
ISBN (Print)	3540615326, 9783540615323
DOIs	https://doi.org/10.1007/3-540-61532-6_3
Publication status	Published - 1 Jan 1996
Externally published	Yes
Event	Pacific Rim International Conference on Artificial Intelligence 1996 - Cairns, Australia Duration: 26 Aug 1996 → 30 Aug 1996 Conference number: 4th https://link.springer.com/book/10.1007/3-540-61532-6 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1114
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Pacific Rim International Conference on Artificial Intelligence 1996
Abbreviated title	PRICAI 1996
Country/Territory	Australia
City	Cairns
Period	26/08/96 → 30/08/96
Internet address	https://link.springer.com/book/10.1007/3-540-61532-6 (Proceedings)

Access to Document

10.1007/3-540-61532-6_3

Cite this

Webb, G. I. (1996). Cost-sensitive specialization. In N. Foo, & R. Goebel (Eds.), PRICAI 1996: Topics in Artificial Intelligence - 4th Pacific Rim International Conference on Artificial Intelligence, Proceedings (pp. 23-34). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1114). Springer. https://doi.org/10.1007/3-540-61532-6_3

Webb, Geoffrey I. / Cost-sensitive specialization. PRICAI 1996: Topics in Artificial Intelligence - 4th Pacific Rim International Conference on Artificial Intelligence, Proceedings. editor / Norman Foo ; Randy Goebel. Springer, 1996. pp. 23-34 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Cost-sensitive specialization",

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.",

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year = "1996",

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pages = "23--34",

editor = "Norman Foo and Randy Goebel",

booktitle = "PRICAI 1996",

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Webb, GI 1996, Cost-sensitive specialization. in N Foo & R Goebel (eds), PRICAI 1996: Topics in Artificial Intelligence - 4th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1114, Springer, pp. 23-34, Pacific Rim International Conference on Artificial Intelligence 1996, Cairns, Queensland, Australia, 26/08/96. https://doi.org/10.1007/3-540-61532-6_3

Cost-sensitive specialization. / Webb, Geoffrey I.
PRICAI 1996: Topics in Artificial Intelligence - 4th Pacific Rim International Conference on Artificial Intelligence, Proceedings. ed. / Norman Foo; Randy Goebel. Springer, 1996. p. 23-34 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1114).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AB - 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.

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SN - 9783540615323

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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T2 - Pacific Rim International Conference on Artificial Intelligence 1996

Y2 - 26 August 1996 through 30 August 1996

ER -

Webb GI. Cost-sensitive specialization. In Foo N, Goebel R, editors, PRICAI 1996: Topics in Artificial Intelligence - 4th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Springer. 1996. p. 23-34. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-61532-6_3

Cost-sensitive specialization

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