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AAAI 1986

A Case Study of Incremental Concept Induction

Conference Paper Learning Artificial Intelligence

Abstract

Applicat, ioli of niactiirie inductiori l, cx-tlrliques in corriplcx doltlailis promises to push the computational limits of nofiincrc~rnerila. 1, search ilitensive induction methods. 1, earning t~ff; ~ctiverlcss in complex domains requires the developrrlerlt of iricrorrierital, cost effective methods. However, discussion 01 ciinierisioris fi>r corriparirig I, he utilily of diffcrirrg increrr~e~~tal melhods teas beers lacking. 111 this paper we intro- (iuc(~: j dimensions for ctiaracterixirig incremental concept iriducLior1 syst, enis wllicti relate to the cost anti qualily of ltlarriifig. ‘ t’ he dimensions are used lo compare lhe respec- 1ivtl Irlt: rit, s of 4 iricrerrleritat variants of Quirilari’ s learning Irol~~ t>x; llrlples program, IlI3. This coniparisori indicates Itlat, cost effert, ive iriductiori car1 be obtained, without sigrlific-; Llktly det, racting frorrl the quality of induct4 knowt- CTlgt~.

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Keywords

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
588910222284475593