-
1
-
-
85152589312
-
-
[Apt6 et al, 1994] Technical Report R C 18879, I B M TJ. Watson Research Center, To appear in A C M Transactions on Office Information Systems
-
[Apt6 et al, 1994] C. Apt6, F. Damerau, and S. Weiss. A tomated Learning of Decison Rules for Text Categorization. Technical Report R C 18879, I B M TJ. Watson Research Center, 1994. To appear in A C M Transactions on Office Information Systems.
-
(1994)
A tomated Learning of Decison Rules for Text Categorization
-
-
Apt6, C.1
Damerau, F.2
Weiss, S.3
-
2
-
-
0003802343
-
-
[Breiman et al, 1984] Monterrey, Ca
-
[Breiman et al, 1984] L. Breiman, J. Friedman, R. Olshen, and C. Stone. Classification and Regression Tress Wadsworth, Monterrey, Ca., 1984.
-
(1984)
Classification and Regression Tress Wadsworth
-
-
Breiman, L.1
Friedman, J.2
Olshen, R.3
Stone, C.4
-
3
-
-
0000040247
-
O estimating probabilities in tree pruning
-
[Cestnik and Bratko, 1991] Berlin, Springer Verlag
-
[Cestnik and Bratko, 1991] B. Cestnik and I. Bratko. O estimating probabilities in tree pruning. In Machine Learning, EWSL-91, Berlin, 1991. Springer Verlag.
-
(1991)
Machine Learning, EWSL-91
-
-
Cestnik, B.1
Bratko, I.2
-
4
-
-
0038710451
-
Efficient pruning methods for separate-and-conquer rule learning systems
-
[Cohen, 1993] pages Chambery
-
[Cohen, 1993] W . Cohen. Efficient pruning methods for separate-and-conquer rule learning systems. In Proceedings ofIJCAI-93, pages 988-994, Chambery, 1993.
-
(1993)
Proceedings ofIJCAI-93
, pp. 988-994
-
-
Cohen, W .1
-
6
-
-
0003421415
-
-
[Efron, 1982] SIAM, Philadelphia, Pa
-
[Efron, 1982] B. Efron. The Jackknife, the Bootstrap and Other Resampling Plans. SIAM, Philadelphia, Pa., 1982
-
(1982)
The Jackknife, the Bootstrap and Other Resampling Plans
-
-
Efron, B.1
-
7
-
-
84950461478
-
Estimating the error rate of a p diction rule
-
[Efron, 1983]
-
[Efron, 1983] B. Efron. Estimating the error rate of a p diction rule. Journal of the American Statistical Association, 78:316-333,1983.
-
(1983)
Journal of the American Statistical Association
, vol.78
, pp. 316-333
-
-
Efron, B.1
-
8
-
-
0001234705
-
Secon order derivatives for network pruning: Optimal brain surgeon
-
[Hassibi and Stork, 1993] pages Morgan Kaufmann, San Mateo, CA
-
[Hassibi and Stork, 1993] B. Hassibi and D. Stork. Secon order derivatives for network pruning: Optimal brain surgeon. In Advances in Neural Information Processing Systems 5, pages 164-171. Morgan Kaufmann, San Mateo, CA, 1993.
-
(1993)
Advances in Neural Information Processing Systems
, vol.5
, pp. 164-171
-
-
Hassibi, B.1
Stork, D.2
-
9
-
-
0003682772
-
The need for biases in lear ing generalizations
-
[Mitchell, 1990] pages Morgan Kaufmann, San Mateo, CA
-
[Mitchell, 1990] T. Mitchell. The need for biases in lear ing generalizations. In Readings in Machine Learning, pages 184-191. Morgan Kaufmann, San Mateo, CA, 1990.
-
(1990)
Readings in Machine Learning
, pp. 184-191
-
-
Mitchell, T.1
-
12
-
-
84935533644
-
Deconstructing the digit recognition problem
-
[Schaffer, 1992a] pages San Mateo, CA, Morgan Kaufmann
-
[Schaffer, 1992a] C. Schaffer. Deconstructing the digit recognition problem. In Proceedings of the Ninth International Conference on Machine Learning, pages 394-399, San Mateo, CA, 1992. Morgan Kaufmann.
-
(1992)
Proceedings of the Ninth International Conference on Machine Learning
, pp. 394-399
-
-
Schaffer, C.1
-
13
-
-
0026971898
-
Sparse data and the effect of overfitting avoidance in decision tree induction
-
[Schaffer, 1992b] pages Cambridge, M A, M I T Press
-
[Schaffer, 1992b] C. Schaffer. Sparse data and the effect of overfitting avoidance in decision tree induction. In Proceedings of AAAI-92, pages 147-152, Cambridge, M A, 1992. M I T Press.
-
(1992)
Proceedings of AAAI-92
, pp. 147-152
-
-
Schaffer, C.1
-
15
-
-
77956887130
-
A n optimal selection of regres sion variables
-
[Shibata, 1981]
-
[Shibata, 1981] R. Shibata. A n optimal selection of regres sion variables. Biometrika, 68:45-54,1981.
-
(1981)
Biometrika
, vol.68
, pp. 45-54
-
-
Shibata, R.1
-
16
-
-
0001164493
-
Shift of bias for inductive concept learning
-
[Utgoff, 1986] pages Morgan Kaufmann, San Mateo, CA
-
[Utgoff, 1986] P. Utgoff. Shift of bias for inductive concept learning. In Machine Learning: An Artificial Intelligence Approach. Volume 2, pages 107-148. Morgan Kaufmann, San Mateo, CA, 1986.
-
(1986)
Machine Learning: An Artificial Intelligence Approach
, vol.2
, pp. 107-148
-
-
Utgoff, P.1
-
17
-
-
0025756797
-
Current status of petersonbarney vowel formant data
-
[Watrous, 1991]
-
[Watrous, 1991] R. Watrous. Current status of petersonbarney vowel formant data. Journal of the Acoustical Society of America, 89(3), 1991.
-
(1991)
Journal of the Acoustical Society of America
, vol.89
, Issue.3
-
-
Watrous, R.1
-
18
-
-
0040452732
-
Optimized Rule Induction
-
[Weiss and Indurkhya, 1993]
-
[Weiss and Indurkhya, 1993] S. Weiss and N. Indurkhya. Optimized Rule Induction. IEEE EXPERT, 8(6):61-69, 1993.
-
(1993)
IEEE EXPERT
, vol.8
, Issue.6
, pp. 61-69
-
-
Weiss, S.1
Indurkhya, N.2
-
20
-
-
0026119313
-
Small sample error rate estimatio for k-nearest neighbor classifiers
-
[Weiss, 1991]
-
[Weiss, 1991] S. Weiss. Small sample error rate estimatio for k-nearest neighbor classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(3):285-289,1991.
-
(1991)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.13
, Issue.3
, pp. 285-289
-
-
Weiss, S.1
-
21
-
-
0342541576
-
-
[Wolpert, 1992] Technical Report SFI TR 92-03-5001, The Sante Fe Institute
-
[Wolpert, 1992] D. Wolpert. On overfitting avoidance as bias. Technical Report SFI TR 92-03-5001, The Sante Fe Institute, 1992.
-
(1992)
On overfitting avoidance as bias
-
-
Wolpert, D.1
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