-
1
-
-
0002897323
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Proceedings of the 2nd European Conference on Computational Learning Theory
-
Y. Freund, R.E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting, in: Proceedings of the 2nd European Conference on Computational Learning Theory, 1995.
-
(1995)
-
-
Freund, Y.1
Schapire, R.E.2
-
2
-
-
0030370417
-
-
Bagging, boosting, and C4.5. In: Proceedings of the 13th National Conference on Artificial Intelligence, Cambridge, MA, 1996.
-
J. Quinlan. Bagging, boosting, and C4.5. In: Proceedings of the 13th National Conference on Artificial Intelligence, Cambridge, MA, 1996.
-
-
-
Quinlan, J.1
-
3
-
-
0030211964
-
Bagging predictors
-
Breiman L. Bagging predictors. Mach. Learn. 1996, 24:123-140.
-
(1996)
Mach. Learn.
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
4
-
-
0346786584
-
Arcing classifiers
-
Breiman L. Arcing classifiers. Ann. Stat. 1998, 26:801-849.
-
(1998)
Ann. Stat.
, vol.26
, pp. 801-849
-
-
Breiman, L.1
-
5
-
-
0032280519
-
Boosting the margin: a new explanation for the effectiveness of voting methods
-
Schapire R., Freund Y., Bartlett P., Lee W. Boosting the margin: a new explanation for the effectiveness of voting methods. Ann. Stat. 1998, 12:1651-1686.
-
(1998)
Ann. Stat.
, vol.12
, pp. 1651-1686
-
-
Schapire, R.1
Freund, Y.2
Bartlett, P.3
Lee, W.4
-
6
-
-
0032645080
-
An empirical comparison of voting classification algorithms: bagging, boosting, and variants
-
Bauer E., Kohavi R. An empirical comparison of voting classification algorithms: bagging, boosting, and variants. Mach. Learn. 1999, 36:105-139.
-
(1999)
Mach. Learn.
, vol.36
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
8
-
-
0034250160
-
An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization
-
Dietterich T. An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization. Mach. Learn. 2000, 40:139-158.
-
(2000)
Mach. Learn.
, vol.40
, pp. 139-158
-
-
Dietterich, T.1
-
10
-
-
11144281845
-
Aggregation ordering in bagging
-
International Conference on Artificial Intelligence and Applications
-
G. Martinez-Munoz, A. Suarez. Aggregation ordering in bagging, in: International Conference on Artificial Intelligence and Applications 2004.
-
(2004)
-
-
Martinez-Munoz, G.1
Suarez, A.2
-
11
-
-
48749096852
-
Getting the most out of ensemble selection
-
Sixth International Conference on Data Mining, Hong Kong
-
R. Caruana, A. Munson, A. Niculescu-Mizil, Getting the most out of ensemble selection, in: Sixth International Conference on Data Mining, Hong Kong, 2006.
-
(2006)
-
-
Caruana, R.1
Munson, A.2
Niculescu-Mizil, A.3
-
13
-
-
52449127881
-
-
MIT Press, Cambridge, MA
-
Krogh A., Vedelsby J. Neural network ensembles, cross validation, and active learning 1995, MIT Press, Cambridge, MA.
-
(1995)
Neural network ensembles, cross validation, and active learning
-
-
Krogh, A.1
Vedelsby, J.2
-
15
-
-
84870065802
-
A competitive ensemble pruning approach based on cross-validation technique
-
Dai Q. A competitive ensemble pruning approach based on cross-validation technique. Knowledge-Based Systems 2013, 37:394-414.
-
(2013)
Knowledge-Based Systems
, vol.37
, pp. 394-414
-
-
Dai, Q.1
-
16
-
-
0037806811
-
The boosting approach to machine learning: an overview
-
MSRI Workshop on Nonlinear Estimation and Classification
-
R. Schapire. The boosting approach to machine learning: an overview, in: MSRI Workshop on Nonlinear Estimation and Classification, 2001.
-
(2001)
-
-
Schapire, R.1
-
17
-
-
0026692226
-
Stacked generalization
-
Wolpert D.H. Stacked generalization. Neural Networks 1992, 5:241-259.
-
(1992)
Neural Networks
, vol.5
, pp. 241-259
-
-
Wolpert, D.H.1
-
18
-
-
0002289220
-
Pruning adaptive boosting
-
Proceedings of the 14th International Conference on Machine Learning
-
D. Margineantu, T. Dietterich, Pruning adaptive boosting in: Proceedings of the 14th International Conference on Machine Learning, 1997.
-
(1997)
-
-
Margineantu, D.1
Dietterich, T.2
-
19
-
-
0012467735
-
Cost complexity-based pruning of ensemble classifiers
-
Prodromidis A.L., Stolfo S.J. Cost complexity-based pruning of ensemble classifiers. Knowl. Inf. Sys. 2001, 3:449-469.
-
(2001)
Knowl. Inf. Sys.
, vol.3
, pp. 449-469
-
-
Prodromidis, A.L.1
Stolfo, S.J.2
-
20
-
-
78049528785
-
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning
-
Partalas I., Tsoumakas G., Vlahavas I. An ensemble uncertainty aware measure for directed hill climbing ensemble pruning. Mach. Learn. 2010, 81:257-282.
-
(2010)
Mach. Learn.
, vol.81
, pp. 257-282
-
-
Partalas, I.1
Tsoumakas, G.2
Vlahavas, I.3
-
21
-
-
10444241978
-
Ensemble diversity measures and their application to thinning
-
Banfield R.E., Hall L.O., Bowyer K.W., Kegelmeyer W.P. Ensemble diversity measures and their application to thinning. Inf. Fusion 2005, 6:49-62.
-
(2005)
Inf. Fusion
, vol.6
, pp. 49-62
-
-
Banfield, R.E.1
Hall, L.O.2
Bowyer, K.W.3
Kegelmeyer, W.P.4
-
22
-
-
14344255621
-
Ensemble selection from libraries of models
-
Proceedings of the 21st International Conference on Machine Learning
-
R. Caruana, A. Niculescu-Mizil, G. Crew, A. Ksikes. Ensemble selection from libraries of models, in: Proceedings of the 21st International Conference on Machine Learning, 2004.
-
(2004)
-
-
Caruana, R.1
Niculescu-Mizil, A.2
Crew, G.3
Ksikes, A.4
-
24
-
-
0012587086
-
Greedy randomized adaptive search procedures
-
Kluwer Academic Publishers, F. Glover, G. Kochenberger (Eds.)
-
Resende M.G.C., Ribeiro C.C. Greedy randomized adaptive search procedures. Handbook of Metaheuristics 2003, 219-249. Kluwer Academic Publishers. F. Glover, G. Kochenberger (Eds.).
-
(2003)
Handbook of Metaheuristics
, pp. 219-249
-
-
Resende, M.G.C.1
Ribeiro, C.C.2
-
25
-
-
84884207355
-
-
UCI, UCI Repository of Machine Learning Databases.
-
UCI, UCI Repository of Machine Learning Databases.
-
-
-
-
26
-
-
80052931178
-
The build of n-bits binary coding ICBP ensemble system
-
Dai Q., Liu N.Z. The build of n-bits binary coding ICBP ensemble system. Neurocomputing 2011, 74:3509-3519.
-
(2011)
Neurocomputing
, vol.74
, pp. 3509-3519
-
-
Dai, Q.1
Liu, N.Z.2
|