-
1
-
-
62649163610
-
-
M. Verleysen, Limitations and future trends in neural computation. IOS Press, 2003, ch. Learning High-Dimensional Data, pp. 141-162.
-
M. Verleysen, Limitations and future trends in neural computation. IOS Press, 2003, ch. Learning High-Dimensional Data, pp. 141-162.
-
-
-
-
3
-
-
0003956665
-
Analyse de données par réseaux de neurones auto-organisés,
-
Ph.D. dissertation, Institut National Polytechnique de Grenoble, France
-
P. Demartines, "Analyse de données par réseaux de neurones auto-organisés," Ph.D. dissertation, Institut National Polytechnique de Grenoble, France, 1994.
-
(1994)
-
-
Demartines, P.1
-
4
-
-
33846822188
-
On the effects of dimensionality on data analysis with neural networks
-
M. Verleysen, D. François, G. Simon, and V. Wertz, "On the effects of dimensionality on data analysis with neural networks," in International Work-Conference on ANNN, 2003, pp. 105-112.
-
(2003)
International Work-Conference on ANNN
, pp. 105-112
-
-
Verleysen, M.1
François, D.2
Simon, G.3
Wertz, V.4
-
5
-
-
84865801454
-
Ensembles of learning machines
-
Neural Nets WIRN Vietri-02, Springer-Verlag
-
G. Valentini and F. Masulli, "Ensembles of learning machines," in Neural Nets WIRN Vietri-02, ser. LNCS. Springer-Verlag, 2002.
-
(2002)
ser. LNCS
-
-
Valentini, G.1
Masulli, F.2
-
6
-
-
0030211964
-
Bagging predictors
-
L. Breiman, "Bagging predictors," Machine Learning, vol. 24, no. 2, pp. 123-140, 1996.
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
8
-
-
0035478854
-
Random forests
-
L. Breiman, "Random forests," Machine Learning, vol. 45, no. 1, pp. 5-32, 2001.
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
9
-
-
0001683059
-
Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks
-
R. Jacobs, M. Jordan, and A. Barto, "Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks," Cognitive Science, vol. 15, pp. 219-250, 1991.
-
(1991)
Cognitive Science
, vol.15
, pp. 219-250
-
-
Jacobs, R.1
Jordan, M.2
Barto, A.3
-
10
-
-
84867038939
-
Experiments with classifier combining rules
-
Multiple Classifier Systems
-
R. Duin and D. Tax, "Experiments with classifier combining rules," in Multiple Classifier Systems, ser. LNCS, vol. 1857, 2000, pp. 16-29.
-
(2000)
ser. LNCS
, vol.1857
, pp. 16-29
-
-
Duin, R.1
Tax, D.2
-
11
-
-
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, vol. 6, no. 1, pp. 5-20, 2005.
-
(2005)
Information Fusion
, vol.6
, Issue.1
, pp. 5-20
-
-
Brown, G.1
Wyatt, J.2
Harris, R.3
Yao, X.4
-
12
-
-
0001942829
-
Neural networks and the bias/variance dilemma
-
S. Geman, E. Bienenstock, and R. Doursat, "Neural networks and the bias/variance dilemma," Neural Computing, vol. 4, no. 1, pp. 1-58, 1992.
-
(1992)
Neural Computing
, vol.4
, Issue.1
, pp. 1-58
-
-
Geman, S.1
Bienenstock, E.2
Doursat, R.3
-
13
-
-
85054435084
-
Neural network ensembles, cross validation, and active learning
-
A. Krogh and J. Vedelsby, "Neural network ensembles, cross validation, and active learning," in Advances in NIPS, vol. 7, 1995, pp. 231-238.
-
(1995)
Advances in NIPS
, vol.7
, pp. 231-238
-
-
Krogh, A.1
Vedelsby, J.2
-
14
-
-
62649111422
-
Univ. of Texas, Tech
-
K. Tumer and J. Ghosh, Theoretical foundations of linear and order statistics combiners for neural pattern classifiers, Rep
-
K. Tumer and J. Ghosh, "Theoretical foundations of linear and order statistics combiners for neural pattern classifiers," Univ. of Texas, Tech. Rep., 1995.
-
(1995)
-
-
-
15
-
-
55149120824
-
Ensemble learning in linearly combined classifiers via negative correlation
-
M. Zanda, G. Brown, G. Fumera, and F. Roli, "Ensemble learning in linearly combined classifiers via negative correlation," in Proc. of MCS, 2007.
-
(2007)
Proc. of MCS
-
-
Zanda, M.1
Brown, G.2
Fumera, G.3
Roli, F.4
-
16
-
-
44649117034
-
Quality measure based on Kohonen maps for supervised learning of large high dimensional data
-
E. Prudhomme and S. Lallich, "Quality measure based on Kohonen maps for supervised learning of large high dimensional data," in Proc. of ASMDA'05, 2005, pp. 246-255.
-
(2005)
Proc. of ASMDA'05
, pp. 246-255
-
-
Prudhomme, E.1
Lallich, S.2
-
17
-
-
62649092040
-
Maps ensemble for semi-supervised learning of large high dimensional datasets
-
Toronto, Canada, May
-
-, "Maps ensemble for semi-supervised learning of large high dimensional datasets," in 17th ISMIS, Toronto, Canada, May 2008.
-
(2008)
17th ISMIS
-
-
-
18
-
-
25444484657
-
Managing diversity in regression ensembles
-
September
-
G. Brown, "Managing diversity in regression ensembles," Journal of Machine Learning Research, vol. 6, pp. 1621-1650, September 2005.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 1621-1650
-
-
Brown, G.1
-
19
-
-
44649199164
-
Ensemble learning in linearly combined classifiers via negative correlation
-
May
-
M. Zanda, G. Brown, G. Fumera, and F. Roli, "Ensemble learning in linearly combined classifiers via negative correlation," in International Workshop on Multiple Classifier Systems, May 2007.
-
(2007)
International Workshop on Multiple Classifier Systems
-
-
Zanda, M.1
Brown, G.2
Fumera, G.3
Roli, F.4
-
20
-
-
84880868490
-
Genetic algorithm based selective neural network ensemble
-
Seattle, WA, Online, Available
-
Z.-H. Zhou, J.-X. Wu, Y. Jiang, and S.-F. Chen, "Genetic algorithm based selective neural network ensemble," in Proc. of the 17th IJCAI, vol. 2, Seattle, WA, 2001. [Online]. Available: citeseer.comp.nus. edu.sg/zhou01genetic.html
-
(2001)
Proc. of the 17th IJCAI
, vol.2
-
-
Zhou, Z.-H.1
Wu, J.-X.2
Jiang, Y.3
Chen, S.-F.4
-
21
-
-
78149347898
-
Feature selection for ensembles : A hierarchical multiobjective genetic algorithm approach
-
L. Oliveira, R. Sabourin, F. Bortolozzi, and C. Y. Suen, "Feature selection for ensembles : A hierarchical multiobjective genetic algorithm approach," in Proc. of International Conference on Document Analysis and Recognition, 2003.
-
(2003)
Proc. of International Conference on Document Analysis and Recognition
-
-
Oliveira, L.1
Sabourin, R.2
Bortolozzi, F.3
Suen, C.Y.4
-
23
-
-
33745834241
-
-
Online, Available
-
D. Newman, S. Hettich, C. Blake, and C. Merz, "UCI repository of machine learning databases," 1998. [Online]. Available: http://www.ics.uci.edu/∼mlearn/MLRepository.html
-
(1998)
UCI repository of machine learning databases
-
-
Newman, D.1
Hettich, S.2
Blake, C.3
Merz, C.4
-
24
-
-
33749469755
-
Tanagra : Un logiciel gratuit pour l'enseignement et la recherche
-
Actes de EGC'2005, 2
-
R. Rakotomalala, "Tanagra : un logiciel gratuit pour l'enseignement et la recherche," in Actes de EGC'2005, ser. RNTI-E-3, vol. 2, 2005, pp. 697-702.
-
(2005)
ser. RNTI-E
, vol.3
, pp. 697-702
-
-
Rakotomalala, R.1
|