-
1
-
-
70350726190
-
Progressive interactive training: A sequential neural network ensemble learning method
-
M.A.H. Akhand, Md. Monirul Islam, and K. Murase Progressive interactive training: a sequential neural network ensemble learning method Neurocomputing 73 1-3 2009 260 273
-
(2009)
Neurocomputing
, vol.73
, Issue.13
, pp. 260-273
-
-
Akhand, M.A.H.1
Monirul Islam, Md.2
Murase, K.3
-
4
-
-
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
-
-
10444241776
-
-
PhD thesis, School of Computer Science, University of Birmingham
-
G. Brown, Diversity in Neural Network Ensembles, PhD thesis, School of Computer Science, University of Birmingham, 2003.
-
(2003)
Diversity in Neural Network Ensembles
-
-
Brown, G.1
-
6
-
-
10444221886
-
Diversity creation methods: A survey and categorisation
-
G. Brown, J. Wyatt, R. Harris, and X. Yao Diversity creation methods: a survey and categorisation Information Fusion Journal (Special issue on Diversity in Multiple Classifier Systems) 6 1 2004 5 20
-
(2004)
Information Fusion Journal (Special Issue on Diversity in Multiple Classifier Systems)
, vol.6
, Issue.1
, pp. 5-20
-
-
Brown, G.1
Wyatt, J.2
Harris, R.3
Yao, X.4
-
9
-
-
0000155950
-
The cascade-correlation learning architecture
-
D.S. Touretzky (Ed.) Denver 1989, Morgan Kaufmann, San Mateo
-
S.E. Fahlman, C. Lebiere. The cascade-correlation learning architecture, in: D.S. Touretzky (Ed.), Advances in Neural Information Processing Systems, vol. 2, Denver 1989, Morgan Kaufmann, San Mateo, 1990, pp. 524-532.
-
(1990)
Advances in Neural Information Processing Systems
, vol.2
, pp. 524-532
-
-
Fahlman, S.E.1
Lebiere, C.2
-
11
-
-
0002432565
-
Multivariate adaptive regression splines
-
J.H. Friedman Multivariate adaptive regression splines Annals of Statistics 19 1 1991 1 141
-
(1991)
Annals of Statistics
, vol.19
, Issue.1
, pp. 1-141
-
-
Friedman, J.H.1
-
12
-
-
0033721860
-
Bagging down-weights leverage points
-
Y. Grandvalet, Bagging down-weights leverage points, in: IJCNN, vol. IV, 2000, pp. 505-510.
-
(2000)
IJCNN
, vol.4
, pp. 505-510
-
-
Grandvalet, Y.1
-
13
-
-
3543107923
-
Bagging equalizes influence
-
Y. Grandvalet Bagging equalizes influence Machine Learning 55 3 2004 251 270
-
(2004)
Machine Learning
, vol.55
, Issue.3
, pp. 251-270
-
-
Grandvalet, Y.1
-
14
-
-
84858447725
-
-
Springer
-
M. Haindl, J. Kittler, F. Roli (Eds.), Multiple Classifier Systems, 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007, Proceedings, Lecture Notes in Computer Science, vol. 4472, Springer, 2007.
-
(2007)
Multiple Classifier Systems, 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007, Proceedings, Lecture Notes in Computer Science
, vol.4472
-
-
Haindl, M.1
Kittler, J.2
Roli, F.3
-
17
-
-
0001940458
-
Adaptative mixtures of local experts
-
R. Jacobs, M. Jordan, S. Nowlan, and G. Hinton Adaptative mixtures of local experts Neural Computation 3 1 1991 79 87
-
(1991)
Neural Computation
, vol.3
, Issue.1
, pp. 79-87
-
-
Jacobs, R.1
Jordan, M.2
Nowlan, S.3
Hinton, G.4
-
18
-
-
85054435084
-
Neural network ensembles, cross-validation and active learning
-
A. Krogh, and J. Vedelsby Neural network ensembles, cross-validation and active learning Neural Information Processing Systems 7 1995 231 238
-
(1995)
Neural Information Processing Systems
, vol.7
, pp. 231-238
-
-
Krogh, A.1
Vedelsby, J.2
-
20
-
-
0037403516
-
Measures of diversity in classifier ensembles
-
L. Kuncheva, and C. Whitaker Measures of diversity in classifier ensembles Machine Learning 51 2 2003 181 207
-
(2003)
Machine Learning
, vol.51
, Issue.2
, pp. 181-207
-
-
Kuncheva, L.1
Whitaker, C.2
-
21
-
-
1942483371
-
-
PhD thesis, University College, The University of New South Wales, Australian Defence Force Academy, Canberra, Australia
-
Y. Liu, Negative Correlation Learning and Evolutionary Neural Network Ensembles, PhD thesis, University College, The University of New South Wales, Australian Defence Force Academy, Canberra, Australia, 1998.
-
(1998)
Negative Correlation Learning and Evolutionary Neural Network Ensembles
-
-
Liu, Y.1
-
23
-
-
0033485370
-
Ensemble learning via negative correlation
-
Y. Liu, and X. Yao Ensemble learning via negative correlation Neural Networks 12 10 1999 1399 1404
-
(1999)
Neural Networks
, vol.12
, Issue.10
, pp. 1399-1404
-
-
Liu, Y.1
Yao, X.2
-
27
-
-
84858447721
-
-
MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings, Lecture Notes in Computer Science, vol. 3541, Springer
-
N.C. Oza, R. Polikar, J. Kittler, F. Roli (Eds.), Multiple Classifier Systems, 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings, Lecture Notes in Computer Science, vol. 3541, Springer, 2005.
-
(2005)
Multiple Classifier Systems, 6th International Workshop
-
-
Oza, N.C.1
Polikar, R.2
Kittler, J.3
Roli, F.4
-
28
-
-
84858450024
-
-
MIT CBCL
-
T. Poggio, R. Rifkin, S. Mukherjee, Bagging Regularizes, Technical Report 214/AI Memo 2002-003, MIT CBCL, 2002.
-
(2002)
Bagging Regularizes, Technical Report 214/AI Memo 2002-003
-
-
Poggio, T.1
Rifkin, R.2
Mukherjee, S.3
-
30
-
-
33748611921
-
Ensemble based systems in decision making
-
R. Polikar Ensemble based systems in decision making IEEE Circuits and Systems 24 4 2006 21 45
-
(2006)
IEEE Circuits and Systems
, vol.24
, Issue.4
, pp. 21-45
-
-
Polikar, R.1
-
31
-
-
85032751446
-
Bootstrap inspired techniques in computational intelligence
-
R. Polikar Bootstrap inspired techniques in computational intelligence IEEE Signal Processing 6 3 2007 56 72
-
(2007)
IEEE Signal Processing
, vol.6
, Issue.3
, pp. 56-72
-
-
Polikar, R.1
-
32
-
-
0036709275
-
Constructing boosting algorithms from SVMs: An application to one-class classification
-
DOI 10.1109/TPAMI.2002.1033211
-
G. Rätsch, S. Mika, B. Schölkopf, and Klaus-Robert Müller Constructing boosting algorithms from SVMs: an application to one-class classification IEEE Transactions on Pattern Analysis and Machine Intelligence 24 9 2002 1184 1199 (Pubitemid 35242580)
-
(2002)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.24
, Issue.9
, pp. 1184-1199
-
-
Ratsch, G.1
Mika, S.2
Scholkopf, B.3
Muller, K.-R.4
-
37
-
-
0036931833
-
Cluster ensembles-a knowledge reuse framework for combining partitionings
-
AAAI, Edmonton, Canada
-
A. Strehl, J. Ghosh, Cluster ensembles-a knowledge reuse framework for combining partitionings, in: Proceedings of AAAI 2002. AAAI, Edmonton, Canada, 2002, pp. 93-98.
-
(2002)
Proceedings of AAAI 2002
, pp. 93-98
-
-
Strehl, A.1
Ghosh, J.2
-
41
-
-
60349123276
-
Incremental construction of classifier and discriminant ensembles
-
A. Ulas, M. Semerci, O.T. Yildiz, and E. Alpaydin Incremental construction of classifier and discriminant ensembles Information Sciences 179 9 2009 1298 1318
-
(2009)
Information Sciences
, vol.179
, Issue.9
, pp. 1298-1318
-
-
Ulas, A.1
Semerci, M.2
Yildiz, O.T.3
Alpaydin, E.4
-
44
-
-
0026692226
-
Stacked generalization
-
D.H. Wolpert Stacked generalization Neural Networks 5 2 1992 241 259
-
(1992)
Neural Networks
, vol.5
, Issue.2
, pp. 241-259
-
-
Wolpert, D.H.1
-
45
-
-
77958150674
-
A dynamic classifier ensemble selection approach for noise data
-
J. Xiao, C. He, X. Jiang, and D. Liu A dynamic classifier ensemble selection approach for noise data Information Sciences 180 2010 3402 3421
-
(2010)
Information Sciences
, vol.180
, pp. 3402-3421
-
-
Xiao, J.1
He, C.2
Jiang, X.3
Liu, D.4
-
46
-
-
34548619946
-
A neural network ensemble method with jittered training data for time series forecasting
-
P. Zhang A neural network ensemble method with jittered training data for time series forecasting Information Sciences 177 2007 5329 5346
-
(2007)
Information Sciences
, vol.177
, pp. 5329-5346
-
-
Zhang, P.1
|