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Volumn , Issue , 2005, Pages 705-712

Generalized skewing for functions with continuous and nominal attributes

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DECISION THEORY; PROBLEM SOLVING; SET THEORY; TREES (MATHEMATICS);

EID: 31844439546     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1102351.1102440     Document Type: Conference Paper
Times cited : (6)

References (13)
  • 2
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. (1996). Bagging predictors. Machine Learning, 24, 123-140.
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 5
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and its application to boosting
    • Freund, Y., & Schapire, R. E. (1997). A decision-theoretic generalization of on-line learning and its application to boosting. Journal of Computer and System Sciences, 55, 119-139.
    • (1997) Journal of Computer and System Sciences , vol.55 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 7
    • 0005971872 scopus 로고
    • Generating better decision trees
    • Los Altos, CA: Kaufmann
    • Norton, S. (1989). Generating better decision trees. IJCAI-89 (pp. 800-805). Los Altos, CA: Kaufmann.
    • (1989) IJCAI-89 , pp. 800-805
    • Norton, S.1
  • 8
    • 85156192015 scopus 로고    scopus 로고
    • Generating accurate and diverse members of a neural-network ensemble
    • D. Touretzky, M. Mozer and M. Hasselmo (Eds.), Cambridge, MA: MIT Press
    • Opitz, D. W., & Shavlik, J. W. (1996). Generating accurate and diverse members of a neural-network ensemble. In D. Touretzky, M. Mozer and M. Hasselmo (Eds.), Advances in neural information processing systems, vol. 8, 535-541. Cambridge, MA: MIT Press.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 535-541
    • Opitz, D.W.1    Shavlik, J.W.2
  • 11
    • 0001857179 scopus 로고
    • Learning efficient classification procedures and their application to chess end games
    • R. Michalski, J. Carbonnel and T. Mitchell (Eds.), Palo Alto, CA: Tioga
    • Quinlan, J. (1983). Learning efficient classification procedures and their application to chess end games. In R. Michalski, J. Carbonnel and T. Mitchell (Eds.), Machine learning: An artificial intelligence approach. Palo Alto, CA: Tioga.
    • (1983) Machine Learning: An Artificial Intelligence Approach
    • Quinlan, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.