-
2
-
-
0030211964
-
Bagging Predictors
-
Breiman, L.: Bagging Predictors. Machine Learning 24, 123-140 (1996)
-
(1996)
Machine Learning
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
3
-
-
0035478854
-
Random forests
-
Breiman, L.: Random forests. Machine Learning 45, 5-32 (2001)
-
(2001)
Machine Learning
, vol.45
, pp. 5-32
-
-
Breiman, L.1
-
4
-
-
24644467293
-
Locally Weighted Naive Bayes
-
Frank, E., Hall, M., Pfahringer, B.: Locally Weighted Naive Bayes. In: Proc. of the 19th Conf. on Uncertainty in AI, pp. 249-256 (2003)
-
(2003)
Proc. of the 19th Conf. on Uncertainty in AI
, pp. 249-256
-
-
Frank, E.1
Hall, M.2
Pfahringer, B.3
-
5
-
-
0032139235
-
The Random Subspace Method for Constructing Decision Forests
-
Ho, T.K.: The Random Subspace Method for Constructing Decision Forests. IEEE Trans. Pattern Analysis and Machine Intelligence 20(8), 832-844 (1998)
-
(1998)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.20
, Issue.8
, pp. 832-844
-
-
Ho, T.K.1
-
6
-
-
85156137079
-
Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid
-
Kohavi, R.: Scaling Up the Accuracy of Naive-Bayes Classifiers: a Decision-Tree Hybrid. In: Proc. of the 2nd KDD, pp. 202-207 (1996)
-
(1996)
Proc. of the 2nd KDD
, pp. 202-207
-
-
Kohavi, R.1
-
7
-
-
85168103975
-
Oblivious Decision Trees, Graphs, and Top-Down Pruning
-
Kohavi, R., Li, C.H.: Oblivious Decision Trees, Graphs, and Top-Down Pruning. In: Proc. of 1995 Intl. Joint Conf. on Artificial Intelligence, pp. 1071-1077 (1995)
-
(1995)
Proc. of 1995 Intl. Joint Conf. on Artificial Intelligence
, pp. 1071-1077
-
-
Kohavi, R.1
Li, C.H.2
-
8
-
-
0032596573
-
Feature selection for ensembles
-
Opitz, D.: Feature selection for ensembles. In: Proc. of the 16th AAAI, pp. 379-384 (1999)
-
(1999)
Proc. of the 16th AAAI
, pp. 379-384
-
-
Opitz, D.1
-
9
-
-
84944215019
-
-
Oza, N.C., Tumer, K.: Input Decimation Ensembles: Decorrelation through Dimensionality Reduction. In: Kittler, J., Roli, F. (eds.) MCS 2001. LNCS, 2096, pp. 238-247. Springer, Heidelberg (2001)
-
Oza, N.C., Tumer, K.: Input Decimation Ensembles: Decorrelation through Dimensionality Reduction. In: Kittler, J., Roli, F. (eds.) MCS 2001. LNCS, vol. 2096, pp. 238-247. Springer, Heidelberg (2001)
-
-
-
-
10
-
-
34147093886
-
Scaling-up support vector machines using the boosting algorithm
-
Pavlov, D., Mao, J., Dom, B.: Scaling-up support vector machines using the boosting algorithm. In: Proc. of 2000 Intl. Conf. on Pattern Recognition, pp. 219-222 (2000)
-
(2000)
Proc. of 2000 Intl. Conf. on Pattern Recognition
, pp. 219-222
-
-
Pavlov, D.1
Mao, J.2
Dom, B.3
-
11
-
-
0033281701
-
Improved boosting algorithms using confidence-rated predictions
-
Schapire, R.E., Singer, S.: Improved boosting algorithms using confidence-rated predictions. Machine Learning 37, 297-336 (1999)
-
(1999)
Machine Learning
, vol.37
, pp. 297-336
-
-
Schapire, R.E.1
Singer, S.2
-
12
-
-
33746424489
-
Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval
-
Tao, D., Tang, X., Li, X., Wu, X.: Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval. IEEE Trans. on Pattern Analysis and Machine Intelligence 28(7), 1088-1099 (2006)
-
(2006)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.7
, pp. 1088-1099
-
-
Tao, D.1
Tang, X.2
Li, X.3
Wu, X.4
-
14
-
-
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
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