-
2
-
-
36249013654
-
Applications of ensemble methods
-
DOI 10.1016/j.inffus.2007.07.004, PII S1566253507000656, Applications of Ensemble Methods
-
N.C. Oza, and K. Tumer Applications of ensemble methods Information Fusion 9 1 2008 2 3 (Pubitemid 350123478)
-
(2008)
Information Fusion
, vol.9
, Issue.1
, pp. 2-3
-
-
Oza, N.C.1
Tumer, K.2
-
3
-
-
0030211964
-
Bagging predictors
-
L. Breiman Bagging predictors Machine Learning 24 2 1996 123 140 (Pubitemid 126724382)
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
5
-
-
0031211090
-
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
-
Y. Freund, and R.E. Schapire A decision-theoretic generalization of on-line learning and an application to boosting Journal of Computer and System Sciences 55 1 1997 119 139 (Pubitemid 127433398)
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
6
-
-
0034247206
-
Multiboosting: A technique for combining boosting and wagging
-
G.I. Webb Multiboosting: a technique for combining boosting and wagging Machine Learning 40 2 2000 159 196
-
(2000)
Machine Learning
, vol.40
, Issue.2
, pp. 159-196
-
-
Webb, G.I.1
-
7
-
-
24144490154
-
Diversity in multiple classifier systems
-
L.I. Kuncheva Diversity in multiple classifier systems Information Fusion 6 1 2005 3 4
-
(2005)
Information Fusion
, vol.6
, Issue.1
, pp. 3-4
-
-
Kuncheva, L.I.1
-
8
-
-
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 2000 139 157
-
(2000)
Machine Learning
, vol.40
, Issue.2
, pp. 139-157
-
-
Dietterich, T.G.1
-
9
-
-
0035478854
-
Random forests
-
DOI 10.1023/A:1010933404324
-
L. Breiman Random forests Machine Learning 45 1 2001 5 32 (Pubitemid 32933532)
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
10
-
-
33947231519
-
A comparison of decision tree ensemble creation techniques
-
DOI 10.1109/TPAMI.2007.250609
-
R.E. Banfield, L.O. Hall, K.W. Bowyer, and W.P. Kegelmeyer A comparison of decision tree ensemble creation techniques IEEE Transactions on Pattern Analysis and Machine Intelligence 29 1 2007 173 180 doi:10.1109/TPAMI.2007. 250609, < http://dx.doi.org/10.1109/TPAMI.2007.250609 > (Pubitemid 46415955)
-
(2007)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.29
, Issue.1
, pp. 173-180
-
-
Banfield, R.E.1
Hall, L.O.2
Bowyer, K.W.3
Kegelmeyer, W.P.4
-
12
-
-
0003802343
-
-
Chapman & Hall, New York, (Previously Published by Wadsworth & Brooks/Cole in 1984)
-
L. Breiman, J. Friedman, A. Olshen, C. Stone, Classification and Regression Trees, Chapman & Hall, New York, 1993 (Previously Published by Wadsworth & Brooks/Cole in 1984).
-
(1993)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.2
Olshen, A.3
Stone, C.4
-
13
-
-
0032645080
-
An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
-
E. Bauer, and R. Kohavi An empirical comparison of voting classification algorithms: bagging, boosting, and variants Machine Learning 36 1-2 1999 105 139
-
(1999)
Machine Learning
, vol.36
, Issue.12
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
16
-
-
0000259511
-
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
-
T.G. Dietterich Approximate statistical test for comparing supervised classification learning algorithms Neural Computation 10 7 1998 1895 1923 (Pubitemid 128463689)
-
(1998)
Neural Computation
, vol.10
, Issue.7
, pp. 1895-1923
-
-
Dietterich, T.G.1
-
17
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
J. Demšar Statistical comparisons of classifiers over multiple data sets Journal of Machine Learning Research 7 2006 1 30 (Pubitemid 43022939)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1-30
-
-
Demsar, J.1
|