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Volumn , Issue , 1994, Pages 335-342

Small Sample Decision Tree Pruning

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE LEARNING;

EID: 33747426160     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/B978-1-55860-335-6.50048-9     Document Type: Conference Paper
Times cited : (13)

References (21)
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  • 3
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  • 4
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    • Efficient pruning methods for separate-and-conquer rule learning systems
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    • Cohen, W .1
  • 7
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    • Estimating the error rate of a p diction rule
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    • Efron, B.1
  • 8
    • 0001234705 scopus 로고
    • Secon order derivatives for network pruning: Optimal brain surgeon
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    • (1993) Advances in Neural Information Processing Systems , vol.5 , pp. 164-171
    • Hassibi, B.1    Stork, D.2
  • 9
    • 0003682772 scopus 로고
    • The need for biases in lear ing generalizations
    • [Mitchell, 1990] pages Morgan Kaufmann, San Mateo, CA
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    • (1990) Readings in Machine Learning , pp. 184-191
    • Mitchell, T.1
  • 12
    • 84935533644 scopus 로고
    • Deconstructing the digit recognition problem
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    • (1992) Proceedings of the Ninth International Conference on Machine Learning , pp. 394-399
    • Schaffer, C.1
  • 13
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    • (1992) Proceedings of AAAI-92 , pp. 147-152
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  • 15
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  • 16
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    • (1986) Machine Learning: An Artificial Intelligence Approach , vol.2 , pp. 107-148
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  • 17
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  • 18
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  • 20
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    • Small sample error rate estimatio for k-nearest neighbor classifiers
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  • 21
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