-
1
-
-
55349138530
-
-
University of California, Irvine
-
Asuncion, A. and Newman, D. J., UCI Repository of Machine Learning, School of Information and Computer Science, University of California, Irvine. Available at http://www.ics.uci.edu/mlearn/MLRepository.html, 2007.
-
(2007)
UCI Repository of Machine Learning, School of Information and Computer Science
-
-
Asuncion, A.1
Newman, D.J.2
-
2
-
-
0032645080
-
An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
-
Bauer, E. and Kohavi, R., "An empirical comparison of voting classification algorithms: Bagging, boosting, and variants, " Machine Learn., 36, 1-2, pp. 105-139, 1999.
-
(1999)
Machine Learn
, vol.36
, Issue.1-2
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
3
-
-
0030211964
-
Bagging predictors
-
Breiman, L., "Bagging predictors, " Machine Learn., 24, 2, pp. 123-140, 1996.
-
(1996)
Machine Learn
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
5
-
-
0035478854
-
Random forests
-
Breiman, L., "Random Forests, " Machine Learn., 45, 1, pp. 5-32, 2001.
-
(2001)
Machine Learn
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
6
-
-
29644438050
-
Statistical comparisons of classifiers over multiple datasets
-
Demšar, J., "Statistical comparisons of classifiers over multiple datasets, " J. Mach. Learn. Research, 7, pp. 1-30, 2006.
-
(2006)
J. Mach. Learn. Research
, vol.7
, pp. 1-30
-
-
Demšar, J.1
-
7
-
-
0002900451
-
Ensemble methods in machine learning
-
(Kittler, J. and Roli, F. eds.), Springer-Verlag, Berlin/Heidelberg
-
Dietterich, T. G., "Ensemble methods in machine learning, " in Proc. of 1st International Workshop on Multiple Classifier Systems 2001 (Kittler, J. and Roli, F. eds.), Springer-Verlag, Berlin/Heidelberg, 2001.
-
(2001)
Proc. of 1st International Workshop on Multiple Classifier Systems 2001
-
-
Dietterich, T.G.1
-
8
-
-
0002978642
-
Experiments with a New boosting algorithm
-
Morgan Kaufmann, San Francisco
-
Freund, Y. and Schapire, R., "Experiments with a New boosting algorithm, " in Proc. of the Thirteenth International Conference on Machine Learning 1996, Morgan Kaufmann, San Francisco, pp. 148-156, 1996.
-
(1996)
Proc. of the Thirteenth International Conference on Machine Learning 1996
, pp. 148-156
-
-
Freund, Y.1
Schapire, R.2
-
9
-
-
0003684449
-
-
Second Edition, Springer-Verlag, New York
-
Hastie, T., Tibshirani, R. and Freidman, J., The Elements of Statistical Learning: Data Mining, Inference and Prediction (Second Edition), Springer-Verlag, New York, 2009.
-
(2009)
The Elements of Statistical Learning: Data Mining, Inference and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Freidman, J.3
-
10
-
-
19044398807
-
Bundling classifiers by bagging trees
-
Hothorn, T. and Lausen, B., "Bundling classifiers by bagging trees, " Comput. Statist. Data Anal., 49, pp. 1068-1078, 2005.
-
(2005)
Comput. Statist. Data Anal.
, vol.49
, pp. 1068-1078
-
-
Hothorn, T.1
Lausen, B.2
-
11
-
-
26444516836
-
Combining pattern classifiers
-
John Wiley and Sons
-
Kuncheva, L. I., Combining Pattern Classifiers, Methods and Algorithms, John Wiley and Sons, 2004.
-
(2004)
Methods and Algorithms
-
-
Kuncheva, L.I.1
-
12
-
-
68949164781
-
Out-of-bag estimation of the optimal sample size in bagging
-
Martínez-Munõz, G. and Suárez, A., "Out-of-bag estimation of the optimal sample size in bagging, " Pattern Recognition, 43, 1, pp. 143-152, 2010.
-
(2010)
Pattern Recognition
, vol.43
, Issue.1
, pp. 143-152
-
-
Martínez-Munõz, G.1
Suárez, A.2
-
13
-
-
0004188510
-
-
Springer Series in Statistics, Springer, Berlin
-
Politis, D., Romano, J. P. and Wolf, M., Subsampling, Springer Series in Statistics, Springer, Berlin, 1999.
-
(1999)
Subsampling
-
-
Politis, D.1
Romano, J.P.2
Wolf, M.3
-
15
-
-
0037806811
-
-
eds., Springer-Verlag
-
Denison, D. D., Hansen, M. H., Holmes, C. C., Mallick, B. and Yu, B. eds.: Lecture Notes in Statistics, 171, pp. 149-172, Springer-Verlag, 2003.
-
(2003)
Lecture Notes in Statistics
, vol.171
, pp. 149-172
-
-
Denison, D.D.1
Hansen, M.H.2
Holmes, C.C.3
Mallick, B.4
Yu, B.5
-
16
-
-
0034247206
-
MultiBoosting: A technique for combining boosting and wagging
-
Webb, G. I., "MultiBoosting: A technique for combining boosting and wagging, " Machine Learn., 40, 2, pp. 159-196, 2000.
-
(2000)
Machine Learn
, vol.40
, Issue.2
, pp. 159-196
-
-
Webb, G.I.1
-
18
-
-
80053931731
-
-
eds., Springer-Verlag
-
Nguyen, N. T., Le, M. T. and Swiatek, J. eds.), Lecture Notes in Computer Science, 5991, Part-II, pp. 320-329, Springer-Verlag, 2010.
-
(2010)
Lecture Notes in Computer Science
, vol.5991
, Issue.PART-II
, pp. 320-329
-
-
Nguyen, N.T.1
Le, M.T.2
Swiatek, J.3
-
19
-
-
39049086240
-
An efficient modified boosting method for solving classification problems
-
Zhang, C. X., Zhang, J. S. and Zhang, G. Y., "An efficient modified boosting method for solving classification problems, " J. Comput. Applied Mathemat., 214, pp. 381-392, 2008.
-
(2008)
J. Comput. Applied Mathemat.
, vol.214
, pp. 381-392
-
-
Zhang, C.X.1
Zhang, J.S.2
Zhang, G.Y.3
|