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Volumn , Issue , 2008, Pages

A fast way to produce near-optimal fixed-depth decision trees

Author keywords

[No Author keywords available]

Indexed keywords

CLASS LABELS; CLASSIFICATION ACCURACY; CLASSIFICATION TASKS; COMPUTATIONAL COSTS; DATA SETS; POSTERIOR PROBABILITY; PRE-PROCESSING STEP; PRECOMPUTE; UCI REPOSITORY;

EID: 84864579563     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (19)
  • 1
    • 85013576689 scopus 로고
    • Theory and applications of agnostic PAC-learning with small decision trees
    • Auer, P.; Holte, R. C.; and Maass, W. 1995. Theory and applications of agnostic PAC-learning with small decision trees. In ICML.
    • (1995) ICML
    • Auer, P.1    Holte, R.C.2    Maass, W.3
  • 4
    • 45949102356 scopus 로고    scopus 로고
    • Reasoning about Bayesian network classifiers
    • Chan, H., and Darwiche, A. 2003. Reasoning about bayesian network classifiers. In UAI, 107.116.
    • (2003) UAI , pp. 107-116
    • Chan, H.1    Darwiche, A.2
  • 7
    • 0031269184 scopus 로고    scopus 로고
    • On the optimality of the simple bayesian classifier under zero-one loss
    • Domingos, P., and Pazzani, M. 1997. On the optimality of the simple bayesian classifier under zero-one loss. Machine Learning 29:103.130. (Pubitemid 127510035)
    • (1997) Machine Learning , vol.29 , Issue.2-3 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 9
    • 0036680338 scopus 로고    scopus 로고
    • Learning cost-sensitive active classifiers
    • Greiner, R.; Grove, A.; and Roth, D. 2002. Learning cost-sensitive active classifiers. Artificial Intelligence 139:137. 174.
    • (2002) Artificial Intelligence , vol.139 , Issue.137 , pp. 174
    • Greiner, R.1    Grove, A.2    Roth, D.3
  • 10
    • 84864609956 scopus 로고    scopus 로고
    • Greiner. 2007. http://www.cs.ualberta.ca/.greiner/RESEARCH/DT-NB.
    • (2007)
  • 11
    • 0027580356 scopus 로고
    • Very simple classification rules perform well on most commonly used datasets
    • Holte, R. C. 1993. Very simple classification rules perform well on most commonly used datasets. Machine Learning 11:63.91.
    • (1993) Machine Learning , vol.11 , pp. 63-91
    • Holte, R.C.1
  • 13
    • 0001409330 scopus 로고    scopus 로고
    • Naïve Bayes at forty: The independence assumption in information retrieval
    • Lewis, D. D. 1998. Naïve Bayes at forty: The independence assumption in information retrieval. In ECML.
    • (1998) ECML
    • Lewis, D.D.1
  • 16
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, J. R. 1986. Induction of decision trees. Machine Learning 1:81.106.
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.