-
1
-
-
0030211964
-
Bagging predictors
-
L. Breiman. Bagging predictors. Machine Learning, 24:123-140, 1996.
-
(1996)
Machine Learning
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
3
-
-
0001087620
-
Logistic regression, AdaBoost and Bregman distances
-
M. Collins, R.E. Schapire, and Y. Singer. Logistic regression, AdaBoost and Bregman distances. In Proceedings of the Thirteenth Annual Conference on Computational Learning Theory, pages 158-169, 2000.
-
(2000)
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory
, pp. 158-169
-
-
Collins, M.1
Schapire, R.E.2
Singer, Y.3
-
4
-
-
0025448521
-
The strength of weak learnability
-
R.E. Schapire. The strength of weak learnability. Machine Learning, 5(2):197-227, 1990.
-
(1990)
Machine Learning
, vol.5
, Issue.2
, pp. 197-227
-
-
Schapire, R.E.1
-
5
-
-
0035478854
-
Random forests
-
L. Breiman. Random forests. Machine Learning, 45(1):5-32, 2001.
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
6
-
-
0034250160
-
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
-
T.G. Dietterich. An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization. Machine Learning, 40(2):139-157, 2000.
-
(2000)
Machine Learning
, vol.40
, Issue.2
, pp. 139-157
-
-
Dietterich, T.G.1
-
8
-
-
84899023111
-
Learning from infinite data in finite time
-
Cambridge, MA, MIT Press
-
G. Hulten and P. Domingos. Learning from infinite data in finite time. In Advances in Neural Information Processing Systems 14, pages 673-680, Cambridge, MA, 2002. MIT Press.
-
(2002)
Advances in Neural Information Processing Systems
, vol.14
, pp. 673-680
-
-
Hulten, G.1
Domingos, P.2
-
9
-
-
0034497712
-
A parallel decision tree builder for mining very large visualization datasets
-
K.W. Bowyer, N.V. Chawla, Jr. T.E. Moore, L.O. Hall, and W.P. Kegelmeyer. A parallel decision tree builder for mining very large visualization datasets. In IEEE Systems, Man, and Cybernetics Conference, pages 1888-1893, 2000.
-
(2000)
IEEE Systems, Man, and Cybernetics Conference
, pp. 1888-1893
-
-
Bowyer, K.W.1
Chawla Jr., N.V.2
Moore, T.E.3
Hall, L.O.4
Kegelmeyer, W.P.5
-
10
-
-
0037235943
-
Distributed learning with bagging-like performance
-
N.V. Chawla, T.E. Moore, L.O. Hall, K.W. Bowyer, W.P. Kegelmeyer, and C. Springer. Distributed learning with bagging-like performance. Pattern Recognition Letters, 24:455-471, 2003.
-
(2003)
Pattern Recognition Letters
, vol.24
, pp. 455-471
-
-
Chawla, N.V.1
Moore, T.E.2
Hall, L.O.3
Bowyer, K.W.4
Kegelmeyer, W.P.5
Springer, C.6
-
12
-
-
0003610530
-
-
The OpenDT project. University of South Florida
-
Robert Banfield. The OpenDT project. Technical report, University of South Florida, http://www.csee.usf.edu/~rbanfiel/OpenDT.html, 2003.
-
(2003)
Technical Report
-
-
Banfield, R.1
-
14
-
-
78149349523
-
Comparing pure parallel ensemble creation techniques against bagging
-
L.O. Hall, K.W. Bowyer, R.E. Banfield, D. Bhadoria, W.P. Kegelmeyer, and Steven Eschrich. Comparing pure parallel ensemble creation techniques against bagging. In The Third IEEE International Conference on Data Mining, pages 533-536, 2003.
-
(2003)
The Third IEEE International Conference on Data Mining
, pp. 533-536
-
-
Hall, L.O.1
Bowyer, K.W.2
Banfield, R.E.3
Bhadoria, D.4
Kegelmeyer, W.P.5
Eschrich, S.6
-
15
-
-
35048874020
-
The statlog project- Evaluation / characterization of classification algorithms
-
The STATLOG Project- Evaluation / Characterization of Classification Algorithms
-
P. Brazdil and J.Gama. The statlog project- evaluation / characterization of classification algorithms. Technical report, The STATLOG Project- Evaluation / Characterization of Classification Algorithms, http://www.ncc.up.pt/liacc/ML/ statlog/, 1998.
-
(1998)
Technical Report
-
-
Brazdil, P.1
Gama, J.2
-
16
-
-
0003802343
-
-
Wadsworth International Group, Belmont, CA
-
L. Breiman, J.H. Friedman, R.A. Olshen, and P.J. Stone. Classification and Regression Trees. Wadsworth International Group, Belmont, CA., 1984.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, P.J.4
-
19
-
-
0036083445
-
A data complexity analysis of comparative advantages of decision forest constructors
-
T.K. Ho. A data complexity analysis of comparative advantages of decision forest constructors. Pattern Analysis and Applications, 5:102-112, 2002.
-
(2002)
Pattern Analysis and Applications
, vol.5
, pp. 102-112
-
-
Ho, T.K.1
-
20
-
-
35248848402
-
A new ensemble diversity measure applied to thinning ensembles
-
June
-
R.E. Banfield, L.O. Hall, K.W. Bowyer, and W. P. Kegelmeyer. A new ensemble diversity measure applied to thinning ensembles. In Multiple Classifier Systems Conference, pages 306-316, June 2003.
-
(2003)
Multiple Classifier Systems Conference
, pp. 306-316
-
-
Banfield, R.E.1
Hall, L.O.2
Bowyer, K.W.3
Kegelmeyer, W.P.4
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