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Volumn 29, Issue 12, 2002, Pages 1677-1700

An incremental learning algorithm for constructing Boolean functions from positive and negative examples

Author keywords

Boolean functions; Data mining; DNF and CNF form; Incremental and non incremental learning; Learning from examples; Machine learning; The one clause at a time (OCAT) approach for inferring a Boolean function

Indexed keywords

DATA MINING; LEARNING ALGORITHMS; VECTORS;

EID: 0036778936     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0305-0548(01)00050-8     Document Type: Article
Times cited : (24)

References (37)
  • 23
    • 0004118074 scopus 로고
    • Selection of the most representative training examples and incremental generation of VLI hypotheses: The underlying methodology and the description of the programs ESEL and AQ11
    • University of Illinois at Urbana, Department of Computer Science, Urbana, IL, USA
    • (1978) Technical Report No. UIUCDCS-R-78-867
    • Michalski, R.S.1    Larson, J.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.