-
1
-
-
0032645080
-
An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
-
Bauer, E., Kohavi, R., 1999. An empirical comparison of voting classification algorithms: bagging, boosting, and variants. Mach. Learn. 36 (1-2), 105-139.
-
(1999)
Mach. Learn.
, vol.36
, Issue.1-2
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
2
-
-
84858204091
-
A design heuristic for hybrid classification ensembles in machine learning
-
Baumgartner, D., Serpen, G., 2012. A design heuristic for hybrid classification ensembles in machine learning. Intell. Data Anal. 16 (2), 233-246.
-
(2012)
Intell. Data Anal.
, vol.16
, Issue.2
, pp. 233-246
-
-
Baumgartner, D.1
Serpen, G.2
-
3
-
-
69349090197
-
Learning deep architectures for AI
-
Bengio, Y., 2009. Learning deep architectures for AI. Found. Trends Mach. Learn. 2 (1), 1-127.
-
(2009)
Found. Trends Mach. Learn.
, vol.2
, Issue.1
, pp. 1-127
-
-
Bengio, Y.1
-
4
-
-
84872577736
-
Practical recommendations for gradient-based training of deep architectures
-
Springer, Berlin
-
Bengio, Y., 2012. Practical recommendations for gradient-based training of deep architectures. In: Neural Networks: Tricks of the Trade. Lecture Notes in Computer Science, Vol. 7700. Springer, Berlin, pp. 437-478.
-
(2012)
Neural Networks: Tricks of the Trade. Lecture Notes in Computer Science
, vol.7700
, pp. 437-478
-
-
Bengio, Y.1
-
5
-
-
84864073449
-
Greedy layer-wise training of deep networks
-
Bengio, Y., Lamblin, P., Popovici, D., Larochelle, H., 2007. Greedy layer-wise training of deep networks. Advances in Neural Information Processing System, Vol. 19, pp. 153-160.
-
(2007)
Advances in Neural Information Processing System
, vol.19
, pp. 153-160
-
-
Bengio, Y.1
Lamblin, P.2
Popovici, D.3
Larochelle, H.4
-
6
-
-
84861049870
-
Detonation classification from acoustic signature with the restricted boltzmann machine
-
Bengio, Y., Chapados, N., Delalleau, O., Larochelle, H., Saint-Mleux, X., Hudon, C, Louradour, J., 2012. Detonation classification from acoustic signature with the restricted Boltzmann machine. Comput. Intell. 28 (2), 261-288.
-
(2012)
Comput. Intell.
, vol.28
, Issue.2
, pp. 261-288
-
-
Bengio, Y.1
Chapados, N.2
Delalleau, O.3
Larochelle, H.4
Saint-Mleux, X.5
Hudon, C.6
Louradour, J.7
-
7
-
-
0030211964
-
Bagging predictors
-
Breiman, L, 1996. Bagging predictors. Mach. Learn. 24 (2), 123-140. (Pubitemid 126724382)
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
8
-
-
0035478854
-
Random forests
-
DOI 10.1023/A:1010933404324
-
Breiman, L, 2001. Random forests. Mach. Learn. 45 (1), 5-32. (Pubitemid 32933532)
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
9
-
-
0003802343
-
-
Chapman & Hall, CRC Press, New York
-
Breiman, L., Friedman, J., Olshen, R., Stone, C, 1984. Classification and Regression Trees. Chapman & Hall, CRC Press, New York.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.2
Olshen, R.3
Stone, C.4
-
10
-
-
84882277761
-
The flip-the-state transition operator for restricted boltzmann machines
-
Brügge, K., Fischer, A., Igel, C, 2013. The flip-the-state transition operator for restricted Boltzmann machines. Mach. Learn. 93 (1), 53-69.
-
(2013)
Mach. Learn.
, vol.93
, Issue.1
, pp. 53-69
-
-
Brügge, K.1
Fischer, A.2
Igel, C.3
-
11
-
-
84867091530
-
Feature extraction using restricted boltzmann machine for stock price prediction
-
Cai, X.G., Hu, S., Lin, X.L, 2012. Feature extraction using restricted Boltzmann machine for stock price prediction. In: Proc. IEEE Int. Conf. Comput. Sci. Autom. Eng., pp. 80-83.
-
(2012)
Proc. IEEE Int. Conf. Comput. Sci. Autom. Eng.
, pp. 80-83
-
-
Cai, X.G.1
Hu, S.2
Lin, X.L.3
-
12
-
-
27344446224
-
Ensemble learning for independent component analysis
-
DOI 10.1016/j.patcog.2005.06.018, PII S0031320305003341
-
Cheng, J., Liu, Q.S., Lu, H.Q., Chen, Y.W., 2006. Ensemble learning for independent component analysis. Pattern Recognit. 39 (1), 81-88. (Pubitemid 41525566)
-
(2006)
Pattern Recognition
, vol.39
, Issue.1
, pp. 81-88
-
-
Cheng, J.1
Liu, Q.2
Lu, H.3
Chen, Y.-W.4
-
13
-
-
70349421161
-
Manifold learning for multi-classifier systems via ensembles
-
Benediktsson, J.A., Kitller, J., Roli, F. (Eds.) Springer, Berlin
-
Crawford, M., Kim, W., 2009. Manifold learning for multi-classifier systems via ensembles. In: Benediktsson, J.A., Kitller, J., Roli, F. (Eds.), MCS, Lecture Notes in Computer Science, Vol. 5519. Springer, Berlin, pp. 519-528.
-
(2009)
MCS, Lecture Notes in Computer Science
, vol.5519
, pp. 519-528
-
-
Crawford, M.1
Kim, W.2
-
14
-
-
79958004813
-
An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction
-
De Bock, K.W., Poel, D.V., 2011. An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction. Expert Syst. Appl. 38 (10), 12293-12301.
-
(2011)
Expert Syst. Appl.
, vol.38
, Issue.10
, pp. 12293-12301
-
-
De Bock, K.W.1
Poel, D.V.2
-
15
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
Demšar, J., 2006. Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. 7, 1-30. (Pubitemid 43022939)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1-30
-
-
Demsar, J.1
-
16
-
-
84925271052
-
PRTools4: A matlab toolbox for pattern recognition
-
Delft
-
Duin, R.P.W., Juszczak, P., Paclik, P., Pekalska, E., Ridder, D., Tax, D.M.J., Verzakov, S., 2007. PRTools4: a matlab toolbox for pattern recognition. Delft University of Technology, Delft.
-
(2007)
Delft University of Technology
-
-
Duin, R.P.W.1
Juszczak, P.2
Paclik, P.3
Pekalska, E.4
Ridder, D.5
Tax, D.M.J.6
Verzakov, S.7
-
17
-
-
12144288329
-
Is combining classifiers with stacking better than selecting the best one?
-
Džeroski, S., Zenko, B., 2004. Is combining classifiers with stacking better than selecting the best one? Mach. Learn. 54 (3), 255-273.
-
(2004)
Mach. Learn.
, vol.54
, Issue.3
, pp. 255-273
-
-
Džeroski, S.1
Zenko, B.2
-
18
-
-
84865595751
-
An introduction to restricted boltzmann machines
-
Alvarez et al. (Eds.) Springer, Berlin
-
Fischer, A., Igel, C, 2012. An introduction to restricted Boltzmann machines. In: Alvarez et al. (Eds.), CIARP, Lecture Notes in Computer Science, Vol. 7441. Springer, Berlin, pp. 14-36.
-
(2012)
CIARP, Lecture Notes in Computer Science
, vol.7441
, pp. 14-36
-
-
Fischer, A.1
Igel, C.2
-
19
-
-
84885023116
-
Training restricted boltzmann machines: An introduction
-
Fischer, A., Igel, C, 2014. Training restricted Boltzmann machines: an introduction. Pattern Recognit. 47 (1), 25-39.
-
(2014)
Pattern Recognit.
, vol.47
, Issue.1
, pp. 25-39
-
-
Fischer, A.1
Igel, C.2
-
20
-
-
78649934709
-
-
University of California, Irvine, School of Information and Computer Sciences
-
Frank, A., Asuncion A., 2010. UCI Machine Learning Repository. University of California, Irvine, School of Information and Computer Sciences, http://archive.ics.uci.edu/ml.
-
(2010)
UCI Machine Learning Repository
-
-
Frank, A.1
Asuncion, A.2
-
21
-
-
0031211090
-
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
-
Freund, Y., Schapire, R.E., 1997. A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Sys. Sci. 55 (1), 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
-
22
-
-
33846550644
-
Nonlinear boosting projections for ensemble construction
-
García-Pedrajas, N., García-Osorio, C, Fyfe, C, 2007. Nonlinear boosting projections for ensemble construction. J. Mach. Learn. Res. 8, 1-33. (Pubitemid 46155122)
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 1-33
-
-
Garcia-Pedrajas, N.1
Garcia-Osorio, C.2
Fyfe, C.3
-
23
-
-
0013344078
-
Training products of experts by minimizing contrastive divergence
-
Hinton, G.E., 2002. Training products of experts by minimizing contrastive divergence. Neural Comput. 14 (8), 1771-1800.
-
(2002)
Neural Comput.
, vol.14
, Issue.8
, pp. 1771-1800
-
-
Hinton, G.E.1
-
25
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
DOI 10.1126/science.1127647
-
Hinton, G.E., Salakhutdinov, R.R., 2006. Reducing the dimensionality of data with neural networks. Science 313, 504-507. (Pubitemid 44148451)
-
(2006)
Science
, vol.313
, Issue.5786
, pp. 504-507
-
-
Hinton, G.E.1
Salakhutdinov, R.R.2
-
26
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
DOI 10.1162/neco.2006.18.7.1527
-
Hinton, G.E., Osindero, S., Teh, Y.W., 2006. A fast learning algorithm for deep belief nets. Neural Comput. 18 (7), 1527-1554. (Pubitemid 44024729)
-
(2006)
Neural Computation
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.-W.3
-
28
-
-
0037410515
-
Double-bagging: Combining classifiers by bootstrap aggregation
-
DOI 10.1016/S0031-3203(02)00169-3, PII S0031320302001693
-
Hothorn, T., Lausen, B., 2003. Double-bagging: combining classifiers by bootstrap aggregation. Pattern Recognit. 36 (6), 1303-1309. (Pubitemid 36230219)
-
(2003)
Pattern Recognition
, vol.36
, Issue.6
, pp. 1303-1309
-
-
Hothorn, T.1
Lausen, B.2
-
30
-
-
84859473821
-
Learning algorithms for the classification restricted boltzmann machine
-
Larochelle, H., Mandel, M., Pascanu, R., Bengio, Y, 2012. Learning algorithms for the classification restricted Boltzmann machine. J. Mach. Learn. Res. 13, 643-669.
-
(2012)
J. Mach. Learn. Res.
, vol.13
, pp. 643-669
-
-
Larochelle, H.1
Mandel, M.2
Pascanu, R.3
Bengio, Y.4
-
31
-
-
56449119811
-
ManifoldBoost: Stagewise function approximation for fully-, semi-, and un-supervised learning
-
Helsinki, Finland
-
Loeff, N., Forsyth, D., Ramachandran, D., 2008. ManifoldBoost: stagewise function approximation for fully-, semi-, and un-supervised learning. In: Proc. 25th Int. Conf. Mach. Learn., Helsinki, Finland, pp. 600-607.
-
(2008)
Proc. 25th Int. Conf. Mach. Learn.
, pp. 600-607
-
-
Loeff, N.1
Forsyth, D.2
Ramachandran, D.3
-
32
-
-
84857037836
-
Naive random subspace ensemble with linear classifiers for real-time classification of fMRI data
-
Plumpton, CO., Kuncheva, LI., Oosterhof, N.N., Jognston, S.J., 2012. Naive random subspace ensemble with linear classifiers for real-time classification of fMRI data. Pattern Recognit. 45 (5), 2101-2108.
-
(2012)
Pattern Recognit.
, vol.45
, Issue.5
, pp. 2101-2108
-
-
Plumpton, C.O.1
Kuncheva, L.I.2
Oosterhof, N.N.3
Jognston, S.J.4
-
33
-
-
33748611921
-
Ensemble based systems in decision making
-
Polikar, R., 2006. Ensemble based systems in decision making. IEEE Circuits Syst. Mag. 6 (3), 21-45.
-
(2006)
IEEE Circuits Syst. Mag.
, vol.6
, Issue.3
, pp. 21-45
-
-
Polikar, R.1
-
34
-
-
33750095186
-
Rotation forest: A New classifier ensemble method
-
DOI 10.1109/TPAMI.2006.211
-
Rodríguez, J.J., Kuncheva, LI., Alonso, C.J., 2006. Rotation forest: a new classifier ensemble method. IEEE Trans. Pattern Anal. Mach. Intell. 28 (10), 1619-1630. (Pubitemid 46405081)
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.10
, pp. 1619-1630
-
-
Rodriguez, J.J.1
Kuncheva, L.I.2
Alonso, C.J.3
-
35
-
-
80053033763
-
Ensembles of decision trees for imbalanced data
-
Sansone, C, Kittler, J., Roli, F. (Eds.) Springer, Berlin
-
Rodríguez, J.J., Díez-Pastor, J.F., Garcia-Osorio, C, 2011. Ensembles of decision trees for imbalanced data. In: Sansone, C, Kittler, J., Roli, F. (Eds.), MCS, Lecture Notes in Computer Science, Vol. 6713. Springer, Berlin, pp. 76-85.
-
(2011)
MCS, Lecture Notes in Computer Science
, vol.6713
, pp. 76-85
-
-
Rodríguez, J.J.1
Díez-Pastor, J.F.2
Garcia-Osorio, C.3
-
36
-
-
69449097857
-
Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography
-
Rokach, L, 2009. Taxonomy for characterizing ensemble methods in classification tasks: a review and annotated bibliography. Comput. Stat. Data Anal. 53 (12), 4046-4072.
-
(2009)
Comput. Stat. Data Anal.
, vol.53
, Issue.12
, pp. 4046-4072
-
-
Rokach, L.1
-
37
-
-
75149176174
-
Ensemble-based classifiers
-
Rokach, L, 2010. Ensemble-based classifiers. Artif. Intell. Rev. 33 (1-2), 1-39.
-
(2010)
Artif. Intell. Rev.
, vol.33
, Issue.1-2
, pp. 1-39
-
-
Rokach, L.1
-
39
-
-
84862704825
-
Tumor classification using eigengene-based classifier committee learning algorithm
-
Sun, Z.L., Zheng, C.H., Gao, Q.W., Zhang, J., Zhang, D.X., 2012. Tumor classification using eigengene-based classifier committee learning algorithm. IEEE Signal Process Lett. 19 (8), 455-458.
-
(2012)
IEEE Signal Process Lett.
, vol.19
, Issue.8
, pp. 455-458
-
-
Sun, Z.L.1
Zheng, C.H.2
Gao, Q.W.3
Zhang, J.4
Zhang, D.X.5
-
40
-
-
56449086223
-
Training restricted boltzmann machines using approximations to the likelihood gradient
-
Helsinki, Finland
-
Tieleman, T., 2008. Training restricted Boltzmann machines using approximations to the likelihood gradient. In: Proc. 25th Int. Conf. Mach. Learn., Helsinki, Finland, pp. 1064-1071.
-
(2008)
Proc. 25th Int. Conf. Mach. Learn.
, pp. 1064-1071
-
-
Tieleman, T.1
-
41
-
-
70049098965
-
Using fast weights to improve persistent contrastive divergence
-
Montreal, Canada
-
Tieleman, T., Hinton, G.E., 2009. Using fast weights to improve persistent contrastive divergence. In: Proc. 26th Int. Conf. Mach. Learn., Montreal, Canada, pp. 1033-1040.
-
(2009)
Proc. 26th Int. Conf. Mach. Learn.
, pp. 1033-1040
-
-
Tieleman, T.1
Hinton, G.E.2
-
42
-
-
34548578042
-
Learning from batched data: Models combination vs data combination
-
Ting, K.M., Low, B.T., Witten, LH., 1999. Learning from batched data: models combination vs data combination. J. Knowl. Inf. Syst. 1 (1), 83-106.
-
(1999)
J. Knowl. Inf. Syst.
, vol.1
, Issue.1
, pp. 83-106
-
-
Ting, K.M.1
Low, B.T.2
Witten, L.H.3
-
43
-
-
84876885548
-
Mixed-variate restricted boltzmann machines
-
Tran, T., Phung, D.Q., Venkatesh, S., 2011. Mixed-variate restricted Boltzmann machines. J. Mach. Learn. Res. 20, 213-229.
-
(2011)
J. Mach. Learn. Res.
, vol.20
, pp. 213-229
-
-
Tran, T.1
Phung, D.Q.2
Venkatesh, S.3
-
44
-
-
84863048981
-
An application of classifier combination methods in hand gesture recognition
-
Wang, G.W., Zhang, C.X., Zhuang, J., 2012. An application of classifier combination methods in hand gesture recognition. Math. Prob. Eng. Article ID 346951, 17 pages.
-
(2012)
Math. Prob. Eng. Article ID 346951
, pp. 17
-
-
Wang, G.W.1
Zhang, C.X.2
Zhuang, J.3
-
45
-
-
84870056483
-
Random projection ensemble learning with multiple empirical kernels
-
Wang, Z., Jie, W.B., Chen, S.C., Gao, D.Q., 2013. Random projection ensemble learning with multiple empirical kernels. Knowledge-Based Syst. 37, 388-393.
-
(2013)
Knowledge-Based Syst.
, vol.37
, pp. 388-393
-
-
Wang, Z.1
Jie, W.B.2
Chen, S.C.3
Gao, D.Q.4
-
46
-
-
0034247206
-
Multiboosting: A technique for combining boosting and wagging
-
Webb, G.I., 2000. Multiboosting: a technique for combining boosting and wagging. Mach. Learn. 40 (2), 159-196.
-
(2000)
Mach. Learn.
, vol.40
, Issue.2
, pp. 159-196
-
-
Webb, G.I.1
-
47
-
-
84899000641
-
Exponential family harmoniums with an application to information retrieval
-
Cambridge, MIT Press
-
Welling, M., Rosen-Zvi, M., Hinton, G.E., 2005. Exponential family harmoniums with an application to information retrieval. Advances in Neural Information Processing System, Vol. 17. Cambridge, MIT Press, pp. 1481-1488.
-
(2005)
Advances in Neural Information Processing System
, vol.17
, pp. 1481-1488
-
-
Welling, M.1
Rosen-Zvi, M.2
Hinton, G.E.3
-
48
-
-
70349305434
-
An empirical study of a linear regression combiner on multi-class data sets
-
Benediktsson, J.A., Kitller, J., Roli, F. (Eds.) Springer, Berlin
-
Zhang, C.X., Duin, R.P.W., 2009. An empirical study of a linear regression combiner on multi-class data sets. In: Benediktsson, J.A., Kitller, J., Roli, F. (Eds.), MCS, Lecture Notes in Computer Science, Vol. 5519. Springer, Berlin, pp. 478-487.
-
(2009)
MCS, Lecture Notes in Computer Science
, vol.5519
, pp. 478-487
-
-
Zhang, C.X.1
Duin, R.P.W.2
-
49
-
-
80052546565
-
An experimental study of one- and two-level classifier fusion for different sample sizes
-
Zhang, C.X., Duin, R.P.W., 2011. An experimental study of one- and two-level classifier fusion for different sample sizes. Pattern Recognit. Lett. 32 (14), 1756-1767.
-
(2011)
Pattern Recognit. Lett.
, vol.32
, Issue.14
, pp. 1756-1767
-
-
Zhang, C.X.1
Duin, R.P.W.2
-
50
-
-
73749083245
-
A variant of rotation forest for constructing ensemble classifiers
-
Zhang, C.X., Zhang, J.S., 2010. A variant of rotation forest for constructing ensemble classifiers. Pattern Anal. Appl. 13 (1), 59-77.
-
(2010)
Pattern Anal. Appl.
, vol.13
, Issue.1
, pp. 59-77
-
-
Zhang, C.X.1
Zhang, J.S.2
-
51
-
-
77956060133
-
Cost-sensitive face recognition
-
Zhang, Y., Zhou, Z.H., 2010. Cost-sensitive face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 32 (10), 1758-1769.
-
(2010)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.32
, Issue.10
, pp. 1758-1769
-
-
Zhang, Y.1
Zhou, Z.H.2
-
52
-
-
84872409305
-
Exploring unlabeled data to enhance ensemble diversity
-
Zhang, M.L., Zhou, Z.H., 2013. Exploring unlabeled data to enhance ensemble diversity. Data Min. Knowl. Discovery 26 (1), 98-129.
-
(2013)
Data Min. Knowl. Discovery
, vol.26
, Issue.1
, pp. 98-129
-
-
Zhang, M.L.1
Zhou, Z.H.2
-
54
-
-
72249084689
-
A hybrid approach for efficient ensembles
-
Zhu, D., 2010. A hybrid approach for efficient ensembles. Decis. Support Syst. 48 (3), 480-487.
-
(2010)
Decis. Support Syst.
, vol.48
, Issue.3
, pp. 480-487
-
-
Zhu, D.1
|