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Volumn 1864, Issue , 2000, Pages 219-232

The lumberjack algorithm for learning linked decision forests

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; ALGORITHMS; DECISION TREES; FORESTRY;

EID: 84942907035     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-44914-0_13     Document Type: Conference Paper
Times cited : (3)

References (17)
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    • (1992) ACM Computing Surveys , vol.24 , Issue.3 , pp. 293-318
    • Bryant, R.E.1
  • 6
    • 0027652495 scopus 로고
    • Exploring the decision forest: An empirical invesitgation of occam's razor in decision tree induction
    • Murphy, Patrick M. and Pazzani, Michael J. 1994. Exploring the decision forest: An empirical invesitgation of occam's razor in decision tree induction. Journal of Artificial Intelligence Research 1:257-275.
    • (1994) Journal of Artificial Intelligence Research , vol.1 , pp. 257-275
    • Murphy, P.M.1    Pazzani, M.J.2
  • 8
    • 0004104375 scopus 로고    scopus 로고
    • Ph. d. Thesis, Computer Science, University of Waikato, Hamilton, New Zealand
    • Nevill-Manning, Craig G. 1996. Inferring Sequential Structure. Ph. d. Thesis, Computer Science, University of Waikato, Hamilton, New Zealand.
    • (1996) Inferring Sequential Structure
    • Nevill-Manning1    Craig, G.2
  • 9
    • 0343424560 scopus 로고
    • Technical Report 91/170 Department of Computer Science, Monash University
    • Oliver, J. andWallace, C. S. 1992. Inferring decision graphs. Technical Report 91/170, Department of Computer Science, Monash University.
    • (1992) Inferring Decision Graphs
    • Oliver, J.1    Wallace, C.S.2
  • 10
    • 0025389210 scopus 로고
    • Boolean feature discovery in empirical learning
    • Pagallo, Giulia and Haussler, David 1990. Boolean feature discovery in empirical learning. Machine Learning 5:71-99.
    • (1990) Machine Learning , vol.5 , pp. 71-99
    • Pagallo, G.1    Haussler, D.2
  • 11
    • 0024627518 scopus 로고
    • Inferring decision trees using the minimum description length principle
    • Quinlan, J. R. and Rivest, R. L. 1989. Inferring decision trees using the minimum description length principle. Information and Computation 80(3):227-248.
    • (1989) Information and Computation , vol.80 , Issue.3 , pp. 227-248
    • Quinlan, J.R.1    Rivest, R.L.2
  • 13
    • 0001098776 scopus 로고
    • A universal prior for integers and estimation by minimum description length
    • Rissanen, Jorma 1983. A universal prior for integers and estimation by minimum description length. The Annals of Statistics 11(2):416-431.
    • (1983) The Annals of Statistics , vol.11 , Issue.2 , pp. 416-431
    • Rissanen, J.1
  • 16
    • 0000107517 scopus 로고
    • An information measure for classification
    • Wallace, C. S. and Boulton, D. M. 1968. An information measure for classification. Computer Journal 11(2):185-194.
    • (1968) Computer Journal , vol.11 , Issue.2 , pp. 185-194
    • Wallace, C.S.1    Boulton, D.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.