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Volumn 126, Issue 2, 1996, Pages 114-122

Lower Bounds on Learning Decision Lists and Trees

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0000943745     PISSN: 08905401     EISSN: None     Source Type: Journal    
DOI: 10.1006/inco.1996.0040     Document Type: Article
Times cited : (103)

References (23)
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    • Ehrenfeucht, A.1    Haussler, D.2
  • 10
    • 0024082469 scopus 로고
    • Quantifying inductive bias: AI learning algorithms and Valiant's learning framework
    • Haussler, D. (1988), Quantifying inductive bias: AI learning algorithms and Valiant's learning framework, Artif. Intell. 36, No. 2, 177-222.
    • (1988) Artif. Intell. , vol.36 , Issue.2 , pp. 177-222
    • Haussler, D.1
  • 11
    • 0001815269 scopus 로고
    • Constructing optimal decision trees is NP-complete
    • Hyafil, L., and Rivest, R. (1976), Constructing optimal decision trees is NP-complete, Inform. Process. Lett. 5, No. 1, 15-17.
    • (1976) Inform. Process. Lett. , vol.5 , Issue.1 , pp. 15-17
    • Hyafil, L.1    Rivest, R.2
  • 15
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    • An empirical comparison of selection measures for decision-tree induction
    • Mingers, J. ( 1989), An empirical comparison of selection measures for decision-tree induction, Mach. Learning 3, 319-342.
    • (1989) Mach. Learning , vol.3 , pp. 319-342
    • Mingers, J.1
  • 16
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, J. R. (1986), Induction of decision trees, Mach. Learning 1, 81-106.
    • (1986) Mach. Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 17
    • 0024627518 scopus 로고
    • Inferring decision trees using the minimum description length principle
    • Quinlan, J. R., and Rivest, R. (1989), Inferring decision trees using the minimum description length principle, Inform. and Comput. 80, 227-248.
    • (1989) Inform. and Comput. , vol.80 , pp. 227-248
    • Quinlan, J.R.1    Rivest, R.2
  • 18
    • 84898928682 scopus 로고
    • Optimization, approximation, and complexity classes, Extended abstract
    • Papadimitriou, C. H., and Yannakakis, M. (1991), Optimization, approximation, and complexity classes, Extended abstract in "Proc. 20th ACM Symp. on Theory of Computing," pp. 229-234; full version in J. Comput. System Sci. 43, 425-440.
    • (1991) Proc. 20th ACM Symp. on Theory of Computing , pp. 229-234
    • Papadimitriou, C.H.1    Yannakakis, M.2
  • 19
    • 85030004156 scopus 로고    scopus 로고
    • Papadimitriou, C. H., and Yannakakis, M. (1991), Optimization, approximation, and complexity classes, Extended abstract in "Proc. 20th ACM Symp. on Theory of Computing," pp. 229-234; full version in J. Comput. System Sci. 43, 425-440.
    • J. Comput. System Sci. , vol.43 , pp. 425-440
  • 20
    • 0024092215 scopus 로고
    • Computational limitations on learning from examples
    • Pitt, L., and Valiant, L. (1988), Computational limitations on learning from examples, J. Assoc. Comput. Mach. 35, No. 4, 965-984.
    • (1988) J. Assoc. Comput. Mach. , vol.35 , Issue.4 , pp. 965-984
    • Pitt, L.1    Valiant, L.2
  • 21
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    • Learning decision lists
    • Rivest, R. (1987), Learning decision lists, Mach. Learning 2, 229-246.
    • (1987) Mach. Learning , vol.2 , pp. 229-246
    • Rivest, R.1
  • 22
    • 0021518106 scopus 로고
    • A theory of the learnable
    • Valiant, L. (1984), A theory of the learnable, Comm. ACM 27, 1134-1142.
    • (1984) Comm. ACM , vol.27 , pp. 1134-1142
    • Valiant, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.