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Volumn 37, Issue 7, 2004, Pages 1561-1564

High training set size reduction by space partitioning and prototype abstraction

Author keywords

Nearest neighbour; Prototype generation; Set size reduction; Space partitioning

Indexed keywords

ALGORITHMS; LEARNING SYSTEMS; REDUCTION; SHAPE MEMORY EFFECT; SPEED CONTROL;

EID: 18144451785     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2003.12.012     Document Type: Article
Times cited : (89)

References (5)
  • 1
    • 0004267735 scopus 로고    scopus 로고
    • Kluwer Academic Publishers, Norwell, MA
    • D.W. Aha (Ed.), Lazy Learning, Kluwer Academic Publishers, Norwell, MA, 1997.
    • (1997) Lazy Learning
    • Aha D.W1
  • 3
    • 0343081513 scopus 로고    scopus 로고
    • Reduction techniques for instance-based learning algorithms
    • Wilson D.R. Martinez T.R. Reduction techniques for instance-based learning algorithms Mach. Learning 38 2000 257-286
    • (2000) Mach. Learning , vol.38 , pp. 257-286
    • Wilson, D.R.1    Martinez, T.R.2
  • 4
    • 0035575921 scopus 로고    scopus 로고
    • Nearest prototype classifier designs: An experimental study
    • Bezdek J.C. Kuncheva L.I. Nearest prototype classifier designs: an experimental study Int. J. Intell. Systems 16 2001 1445-1473
    • (2001) Int. J. Intell. Systems , vol.16 , pp. 1445-1473
    • Bezdek, J.C.1    Kuncheva, L.I.2
  • 5
    • 0030196853 scopus 로고    scopus 로고
    • A sample set condensation algorithm for the class sensitive artificial neural network
    • Chen C.H. Józwik A. A sample set condensation algorithm for the class sensitive artificial neural network Pattern Recognition Lett. 17 1996 819-823
    • (1996) Pattern Recognition Lett. , vol.17 , pp. 819-823
    • Chen, C.H.1    Józwik, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.