-
1
-
-
0022848955
-
Feature selection and extraction
-
Young, T.Y, Fu, K.-S, eds, Academic Press, New York
-
Kittler, J.: Feature selection and extraction. In: Young, T.Y., Fu, K.-S. (eds.) Handbook of Pattern Recognition and Image Processing, pp. 60-81. Academic Press, New York (1986)
-
(1986)
Handbook of Pattern Recognition and Image Processing
, pp. 60-81
-
-
Kittler, J.1
-
2
-
-
85031799549
-
Semi-naive Bayesian classifier
-
Session on Machine learning, pp, Springer, Berlin
-
Kononenko, I.: Semi-naive Bayesian classifier. In: Proc. 6th European Working Session on Machine learning, pp. 206-219. Springer, Berlin (1991)
-
(1991)
Proc. 6th European Working
, pp. 206-219
-
-
Kononenko, I.1
-
3
-
-
84886741606
-
Induction of recursive Bayesian classifiers
-
Springer, Berlin
-
Langley, P.: Induction of recursive Bayesian classifiers. In: Proc. 1993 European Conf. Machine Learning, pp. 153-164. Springer, Berlin (1993)
-
(1993)
Proc. 1993 European Conf. Machine Learning
, pp. 153-164
-
-
Langley, P.1
-
5
-
-
85156137079
-
Scaling up the accuracy of naive-Bayes classifiers: A decision-tree hybrid
-
ACM Press, New York
-
Kohavi, R.: Scaling up the accuracy of naive-Bayes classifiers: a decision-tree hybrid. In: Proc. 2nd ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining, pp. 202 207. ACM Press, New York (1996)
-
(1996)
Proc. 2nd ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining
, pp. 202-207
-
-
Kohavi, R.1
-
7
-
-
85010067887
-
Learning limited dependence Bayesian classifiers
-
AAAI Press, Menlo Park, CA
-
Sahami, M.: Learning limited dependence Bayesian classifiers. In: Proc. 2nd Int. Conf. Knowledge Discovery in Databases, pp. 334-338. AAAI Press, Menlo Park, CA (1996)
-
(1996)
Proc. 2nd Int. Conf. Knowledge Discovery in Databases
, pp. 334-338
-
-
Sahami, M.1
-
8
-
-
0007152230
-
Efficient learning of selective Bayesian network classifiers
-
Morgan Kaufmann, San Francisco
-
Singh, M., Provan, G.M.: Efficient learning of selective Bayesian network classifiers. In: Proc. 13th Int. Conf. Machine Learning, pp. 453-461. Morgan Kaufmann, San Francisco (1996)
-
(1996)
Proc. 13th Int. Conf. Machine Learning
, pp. 453-461
-
-
Singh, M.1
Provan, G.M.2
-
9
-
-
0031276011
-
Bayesian network classifiers
-
Friedman, N., Geiger, D., Goldszmidt, M.: Bayesian network classifiers. Machine Learning 29(2), 131-163 (1997)
-
(1997)
Machine Learning
, vol.29
, Issue.2
, pp. 131-163
-
-
Friedman, N.1
Geiger, D.2
Goldszmidt, M.3
-
11
-
-
0002610991
-
Learning augmented Bayesian classifers: A comparison of distribution-based and classification-based approaches
-
Keogh, E.J., Pazzani, M.J.: Learning augmented Bayesian classifers: A comparison of distribution-based and classification-based approaches. In: Proc. Int. Workshop on Artificial Intelligence and Statistics, pp. 225-230 (1999)
-
(1999)
Proc. Int. Workshop on Artificial Intelligence and Statistics
, pp. 225-230
-
-
Keogh, E.J.1
Pazzani, M.J.2
-
12
-
-
0034301677
-
Lazy learning of Bayesian rules
-
Zheng, Z., Webb, G.I.: Lazy learning of Bayesian rules. Machine Learning 41(1), 53-84 (2000)
-
(2000)
Machine Learning
, vol.41
, Issue.1
, pp. 53-84
-
-
Zheng, Z.1
Webb, G.I.2
-
13
-
-
14844351034
-
Not so naive Bayes: Aggregating one-dependence estimators
-
Webb, G.I., Boughton, J., Wang, Z.: Not so naive Bayes: Aggregating one-dependence estimators. Machine Learning 58(1), 5-24 (2005)
-
(2005)
Machine Learning
, vol.58
, Issue.1
, pp. 5-24
-
-
Webb, G.I.1
Boughton, J.2
Wang, Z.3
-
14
-
-
38049113544
-
-
Cerquides, J., Mantaras, R.L.D.: Robust Bayesian linear classifier ensembles. In: Gama, J., Camacho, R., Brazdil, P.B., Jorge, A.M., Torgo, L. (eds.) ECML 2005. LNCS (LNAI), 3720, pp. 70-81. Springer, Heidelberg (2005)
-
Cerquides, J., Mantaras, R.L.D.: Robust Bayesian linear classifier ensembles. In: Gama, J., Camacho, R., Brazdil, P.B., Jorge, A.M., Torgo, L. (eds.) ECML 2005. LNCS (LNAI), vol. 3720, pp. 70-81. Springer, Heidelberg (2005)
-
-
-
-
15
-
-
33749265151
-
Efficient lazy elimination for averaged-one dependence estimators
-
ACM Press, New York
-
Zheng, F., Webb, G.I.: Efficient lazy elimination for averaged-one dependence estimators. In: Proc. 23th Int. Conf. Machine Learning (ICML 2006), pp. 1113-1120. ACM Press, New York (2006)
-
(2006)
Proc. 23th Int. Conf. Machine Learning (ICML
, pp. 1113-1120
-
-
Zheng, F.1
Webb, G.I.2
-
16
-
-
33745444617
-
Classification using hierarchical naive Bayes models
-
Langseth, H., Nielsen, T.D.: Classification using hierarchical naive Bayes models. Machine Learning 63(2), 135-159 (2006)
-
(2006)
Machine Learning
, vol.63
, Issue.2
, pp. 135-159
-
-
Langseth, H.1
Nielsen, T.D.2
-
19
-
-
33750313997
-
To select or to weigh: A comparative study of model selection and model weighing for SPODE ensembles
-
Springer, Berlin
-
Yang, Y., Webb, G., Cerquides, J., Korb, K., Boughton, J., Ting, K.M.: To select or to weigh: A comparative study of model selection and model weighing for SPODE ensembles. In: Proc. 18th European Conf. Machine Learning (ECML2006), pp. 533-544. Springer, Berlin (2006).
-
(2006)
Proc. 18th European Conf. Machine Learning (ECML2006)
, pp. 533-544
-
-
Yang, Y.1
Webb, G.2
Cerquides, J.3
Korb, K.4
Boughton, J.5
Ting, K.M.6
-
21
-
-
0002419948
-
Beyond independence: Conditions for the optimality of the simple Bayesian classifier
-
Morgan Kaufmann, San Francisco
-
Domingos, P., Pazzani, M.J.: Beyond independence: Conditions for the optimality of the simple Bayesian classifier. In: Proc. 13th Int. Conf. Machine Learning, pp. 105-112. Morgan Kaufmann, San Francisco (1996)
-
(1996)
Proc. 13th Int. Conf. Machine Learning
, pp. 105-112
-
-
Domingos, P.1
Pazzani, M.J.2
-
22
-
-
85099325734
-
Irrelevant features and the subset selection problem
-
Morgan Kaufmann, San Francisco, CA
-
John, G.H., Kohavi, R., Pfleger, K.: Irrelevant features and the subset selection problem. In: Proc. 11th Int. Conf. Machine Learning, pp. 121-129. Morgan Kaufmann, San Francisco, CA (1994)
-
(1994)
Proc. 11th Int. Conf. Machine Learning
, pp. 121-129
-
-
John, G.H.1
Kohavi, R.2
Pfleger, K.3
-
23
-
-
33745834241
-
-
University of California, Department of Information and Computer Science, Irvine, CA
-
Newman, D.J., Hettich, S., Blake, C.L., Merz, C.J.: UCI repository of machine learning databases. University of California, Department of Information and Computer Science, Irvine, CA (1998)
-
(1998)
UCI repository of machine learning databases
-
-
Newman, D.J.1
Hettich, S.2
Blake, C.L.3
Merz, C.J.4
-
24
-
-
0002593344
-
Multi-interval discretization of continuous-valued attributes for classification learning
-
Morgan Kaufmann, San Francisco
-
Fayyad, U.M., Irani, K.B.: Multi-interval discretization of continuous-valued attributes for classification learning. In: Proc. 13th Int. Joint Conf. Artificial Intelligence (IJCAI-93), pp. 1022-1029. Morgan Kaufmann, San Francisco (1993)
-
(1993)
Proc. 13th Int. Joint Conf. Artificial Intelligence (IJCAI-93)
, pp. 1022-1029
-
-
Fayyad, U.M.1
Irani, K.B.2
-
25
-
-
0003006556
-
Estimating probabilities: A crucial task in machine learning
-
Pitman, London
-
Cestnik, B.: Estimating probabilities: A crucial task in machine learning. In: Proc. 9th European Conf. Artificial Intelligence, pp. 147-149. Pitman, London (1990)
-
(1990)
Proc. 9th European Conf. Artificial Intelligence
, pp. 147-149
-
-
Cestnik, B.1
-
27
-
-
0034247206
-
Multiboosting: A technique for combining boosting and wagging
-
Webb, G.I.: Multiboosting: A technique for combining boosting and wagging. Machine Learning 40(2), 159-196 (2000)
-
(2000)
Machine Learning
, vol.40
, Issue.2
, pp. 159-196
-
-
Webb, G.I.1
|