메뉴 건너뛰기




Volumn 2005, Issue , 2005, Pages 246-253

A framework for grid-based neural networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTATIONAL METHODS; COSTS; MOBILE COMPUTING; PERSONNEL TRAINING; PROBLEM SOLVING;

EID: 33646443263     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (13)
  • 5
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breimen, "Bagging Predictors", Machine Learning, Vol 24 (2), 1996, pp. 123-140.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breimen, L.1
  • 7
    • 0000551189 scopus 로고    scopus 로고
    • Popular ensemble methods: An empirical study
    • R. Maclin and D. Opitz, "Popular Ensemble Methods: An Empirical Study", Journal of Artificial Intelligence, Vol 11, 1999, pp. 169-198.
    • (1999) Journal of Artificial Intelligence , vol.11 , pp. 169-198
    • Maclin, R.1    Opitz, D.2
  • 9
    • 0025448521 scopus 로고
    • The strength of weak learning
    • R.E. Schapire, "The strength of weak learning", Machine Learning, 5, 1990, pp. 197-227
    • (1990) Machine Learning , vol.5 , pp. 197-227
    • Schapire, R.E.1
  • 10
    • 0031361611 scopus 로고    scopus 로고
    • Machine learning research: Four current directions
    • T. G. Dietterich, "Machine Learning Research: Four Current Directions", AI Magazine, Vol 18(4), 1997, pp. 97-136.
    • (1997) AI Magazine , vol.18 , Issue.4 , pp. 97-136
    • Dietterich, T.G.1
  • 12
    • 0036567392 scopus 로고    scopus 로고
    • Ensembling neural networks: Many could be better than all
    • Z-H. Zhou, J. Wu and W. Tang, "Ensembling Neural Networks: Many Could be Better than All", Artificial Intelligence, Vol 137 (1-2), 2002, pp. 239-263
    • (2002) Artificial Intelligence , vol.137 , Issue.1-2 , pp. 239-263
    • Zhou, Z.-H.1    Wu, J.2    Tang, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.