-
1
-
-
35248848402
-
A new ensemble diversity measure applied to thinning ensemble
-
T. Windeatt, F. Roli (Eds.) MCS 2003, Guilford, UK, Lecture Notes in Computer Science
-
R. Banfield, L. Hall, K. Bowyer, W. Kegelmeyer, A new ensemble diversity measure applied to thinning ensemble, in: T. Windeatt, F. Roli (Eds.), Multiple Classifier Systems, Fourth International Workshop, MCS 2003, Guilford, UK, Lecture Notes in Computer Science, vol. 2709, 2003, pp. 306-316.
-
(2003)
Multiple Classifier Systems, Fourth International Workshop
, vol.2709
, pp. 306-316
-
-
Banfield, R.1
Hall, L.2
Bowyer, K.3
Kegelmeyer, W.4
-
2
-
-
77549088477
-
A forecasting solution to the oil spill problem based on a hybrid intelligent system
-
B. Baruque, E. Corchado, A. Mata, and J.M. Corchado A forecasting solution to the oil spill problem based on a hybrid intelligent system Information Sciences 180 10 2010 2029 2043
-
(2010)
Information Sciences
, vol.180
, Issue.10
, pp. 2029-2043
-
-
Baruque, B.1
Corchado, E.2
Mata, A.3
Corchado, J.M.4
-
3
-
-
0030211964
-
Bagging predictors
-
L. Breiman Bagging predictors Machine Learning 24 2 1996 123 140
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
4
-
-
0033115883
-
Pattern recognition with neural networks combined by genetic algorithm
-
S.B. Cho Pattern recognition with neural networks combined by genetic algorithm Fuzzy Sets and Systems 103 2 1999 339 347
-
(1999)
Fuzzy Sets and Systems
, vol.103
, Issue.2
, pp. 339-347
-
-
Cho, S.B.1
-
5
-
-
0018465664
-
A composite classifier system design: Concepts and methodology
-
B.V. Dasarathy, and B.V. Sheela A composite classifier system design: concepts and methodology Proceedings of the IEEE 67 5 1978 708 713
-
(1978)
Proceedings of the IEEE
, vol.67
, Issue.5
, pp. 708-713
-
-
Dasarathy, B.V.1
Sheela, B.V.2
-
6
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
J. Demsar Statistical comparisons of classifiers over multiple data sets Journal of Machine Learning Research 7 2006 1 30
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1-30
-
-
Demsar, J.1
-
7
-
-
24044449939
-
A study on the performances of dynamic classifier selection based on local accuracy estimation
-
L. Didaci, G. Giacinto, F. Roli, and G.L. Marcialis A study on the performances of dynamic classifier selection based on local accuracy estimation Pattern Recognition 38 11 2005 2188 2191
-
(2005)
Pattern Recognition
, vol.38
, Issue.11
, pp. 2188-2191
-
-
Didaci, L.1
Giacinto, G.2
Roli, F.3
Marcialis, G.L.4
-
8
-
-
0034250160
-
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
-
T.G. Dietterich An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization Machine Learning 40 2 2000 139 157
-
(2000)
Machine Learning
, vol.40
, Issue.2
, pp. 139-157
-
-
Dietterich, T.G.1
-
12
-
-
75149159107
-
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets
-
A. Fernández, M.J. del Jesus, and F. Herrera On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets Information Sciences 180 8 2010 1268 1291
-
(2010)
Information Sciences
, vol.180
, Issue.8
, pp. 1268-1291
-
-
Fernández, A.1
Del Jesus, M.J.2
Herrera, F.3
-
13
-
-
84944811700
-
The use of ranks to avoid the assumption of normality implicit in the analysis of variance
-
M. Friedman The use of ranks to avoid the assumption of normality implicit in the analysis of variance Journal of the American Statistical Association 32 200 1937 675 701
-
(1937)
Journal of the American Statistical Association
, vol.32
, Issue.200
, pp. 675-701
-
-
Friedman, M.1
-
14
-
-
0001837148
-
A comparison of alternative tests of significance for the problem of m rankings
-
M. Friedman A comparison of alternative tests of significance for the problem of m rankings The Annals of Mathematical Statistics 11 1 1940 86 92
-
(1940)
The Annals of Mathematical Statistics
, vol.11
, Issue.1
, pp. 86-92
-
-
Friedman, M.1
-
16
-
-
84957662017
-
Adaptive selection of image classifiers
-
Springer Berlin Proceedings of the Ninth ICIAP, Florence
-
G. Giacinto, and F. Roli Adaptive selection of image classifiers Proceedings of the Ninth ICIAP, Florence Lecture Notes in Computer Science vol. 1310 1997 Springer Berlin 38 45
-
(1997)
Lecture Notes in Computer Science
, vol.1310
, pp. 38-45
-
-
Giacinto, G.1
Roli, F.2
-
17
-
-
0035420134
-
Design of effective neural network ensembles for image classification
-
G. Giacinto, and F. Roli Design of effective neural network ensembles for image classification Image and Vision Computing Journal 19 9-10 2001 697 705
-
(2001)
Image and Vision Computing Journal
, vol.19
, Issue.910
, pp. 697-705
-
-
Giacinto, G.1
Roli, F.2
-
18
-
-
84994037050
-
Dynamic classifier selection based on multiple classifier behaviour
-
G. Giacinto, and F. Roli Dynamic classifier selection based on multiple classifier behaviour Pattern Recognition 34 9 2001 1879 1881
-
(2001)
Pattern Recognition
, vol.34
, Issue.9
, pp. 1879-1881
-
-
Giacinto, G.1
Roli, F.2
-
19
-
-
45149134587
-
Combination of heterogeneous multiple classifiers based on evidence theory
-
Beijing
-
D.Q. Han, C.Z. Han, Y. Yang, Combination of heterogeneous multiple classifiers based on evidence theory, in: Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, Beijing, 2007, pp. 573-578.
-
(2007)
Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition
, pp. 573-578
-
-
Han, D.Q.1
Han, C.Z.2
Yang, Y.3
-
23
-
-
0001618197
-
Heuristic self-organization in problems of engineering cybernetics
-
A.G. Ivakhnenko Heuristic self-organization in problems of engineering cybernetics Automatica 6 2 1970 207 219
-
(1970)
Automatica
, vol.6
, Issue.2
, pp. 207-219
-
-
Ivakhnenko, A.G.1
-
25
-
-
38349135448
-
From dynamic classifier selection to dynamic ensemble selection
-
A.H.R. Ko, R. Sabourin, and A. de Souza Britto Jr. From dynamic classifier selection to dynamic ensemble selection Pattern Recognition 41 5 2008 1718 1731
-
(2008)
Pattern Recognition
, vol.41
, Issue.5
, pp. 1718-1731
-
-
Ko, A.H.R.1
Sabourin, R.2
De Souza Britto, A.3
-
26
-
-
0002872346
-
Bias plus variance decomposition for zero-one loss functions
-
Morgan Kaufman San Mateo, CA
-
R. Kohavi, and D.H. Wolpert Bias plus variance decomposition for zero-one loss functions Proceedings of ICML-96, Bari, Italy 1996 Morgan Kaufman San Mateo, CA 275 283
-
(1996)
Proceedings of ICML-96, Bari, Italy
, pp. 275-283
-
-
Kohavi, R.1
Wolpert, D.H.2
-
27
-
-
73149104367
-
An approach to discovering multi-temporal patterns and its application to financial databases
-
X. Kong, Q. Wei, and G. Chen An approach to discovering multi-temporal patterns and its application to financial databases Information Sciences 180 6 2010 873 885
-
(2010)
Information Sciences
, vol.180
, Issue.6
, pp. 873-885
-
-
Kong, X.1
Wei, Q.2
Chen, G.3
-
28
-
-
0037403516
-
Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
-
L. Kuncheva, and C. Whitaker Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy Machine Learning 51 2 2003 181 207
-
(2003)
Machine Learning
, vol.51
, Issue.2
, pp. 181-207
-
-
Kuncheva, L.1
Whitaker, C.2
-
30
-
-
0036532571
-
Switching between selection and fusion in combining classifiers: An experiment
-
L.I. Kuncheva Switching between selection and fusion in combining classifiers: an experiment IEEE Transactions on Systems, Man and Cybernetics - Part B 32 2 2002 146 156
-
(2002)
IEEE Transactions on Systems, Man and Cybernetics - Part B
, vol.32
, Issue.2
, pp. 146-156
-
-
Kuncheva, L.I.1
-
32
-
-
0035457787
-
Multiple classifier combination by clustering and selection
-
R. Liu, and B. Yuan Multiple classifier combination by clustering and selection Information Fusion 2 2001 163 168
-
(2001)
Information Fusion
, vol.2
, pp. 163-168
-
-
Liu, R.1
Yuan, B.2
-
34
-
-
76349125303
-
Ensemble strategies with adaptive evolutionary programming
-
R. Mallipeddi, S. Mallipeddi, and P.N. Suganthan Ensemble strategies with adaptive evolutionary programming Information Sciences 180 9 2010 1571 1581
-
(2010)
Information Sciences
, vol.180
, Issue.9
, pp. 1571-1581
-
-
Mallipeddi, R.1
Mallipeddi, S.2
Suganthan, P.N.3
-
35
-
-
58749104155
-
Classification algorithm sensitivity to training data with non representative attribute noise
-
M. Mannino, Y.J. Yang, and Y. Ryu Classification algorithm sensitivity to training data with non representative attribute noise Decision Support Systems 46 3 2009 743 751
-
(2009)
Decision Support Systems
, vol.46
, Issue.3
, pp. 743-751
-
-
Mannino, M.1
Yang, Y.J.2
Ryu, Y.3
-
36
-
-
60549115783
-
Investigating the efficiency in oil futures market based on GMDH approach
-
M. Mehrara, A. Moeini, M. Ahrari, and A. Erfanifard Investigating the efficiency in oil futures market based on GMDH approach Expert Systems with Applications 36 4 2009 7479 7483
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.4
, pp. 7479-7483
-
-
Mehrara, M.1
Moeini, A.2
Ahrari, M.3
Erfanifard, A.4
-
37
-
-
84880832861
-
Constructing diverse classifier ensembles using artificial training examples
-
Acapulco, Mexico
-
P. Melville, R. Mooney, Constructing diverse classifier ensembles using artificial training examples, in: Proceedings of 18th International Joint Conference on Artificial Intelligence, Acapulco, Mexico, 2003, pp. 505-510.
-
(2003)
Proceedings of 18th International Joint Conference on Artificial Intelligence
, pp. 505-510
-
-
Melville, P.1
Mooney, R.2
-
38
-
-
21144437071
-
Experiments on ensembles with missing and noisy data
-
Springer Verlag Proceedings of Fifth International Workshop on Multiple Classifier Systems (MCS-2004), Cagliari, Italy, June
-
P. Melville, N. Shah, L. Mihalkova, and R.J. Mooney Experiments on ensembles with missing and noisy data Proceedings of Fifth International Workshop on Multiple Classifier Systems (MCS-2004), Cagliari, Italy, June LNCS vol. 3077 2004 Springer Verlag 293 302
-
(2004)
LNCS
, vol.3077
, pp. 293-302
-
-
Melville, P.1
Shah, N.2
Mihalkova, L.3
Mooney, R.J.4
-
42
-
-
61449099344
-
Bio-inspired and gradient-based algorithms to train MLPs: The influence of diversity
-
R. Pasti, and L.N. de Castro Bio-inspired and gradient-based algorithms to train MLPs: the influence of diversity Information Sciences 179 10 2009 1441 1453
-
(2009)
Information Sciences
, vol.179
, Issue.10
, pp. 1441-1453
-
-
Pasti, R.1
De Castro, L.N.2
-
44
-
-
67649971029
-
Information market-based decision fusion
-
J. Perols, K. Chari, and M. Agrawal Information market-based decision fusion Management Science 55 5 2009 827 842
-
(2009)
Management Science
, vol.55
, Issue.5
, pp. 827-842
-
-
Perols, J.1
Chari, K.2
Agrawal, M.3
-
46
-
-
58549093526
-
Collective-agreement-based pruning of ensembles
-
L. Rokach Collective-agreement-based pruning of ensembles Computational Statistics and Data Analysis 53 4 2009 1015 1026
-
(2009)
Computational Statistics and Data Analysis
, vol.53
, Issue.4
, pp. 1015-1026
-
-
Rokach, L.1
-
47
-
-
34848892731
-
A dynamic classifier selection method to build ensembles using accuracy and diversity
-
A. Santana, R.G.F. Soares, A.M.P. Canuto, M.C.P. Souto, A dynamic classifier selection method to build ensembles using accuracy and diversity, in: Proceedings of the Ninth Brazilian Symposium on Neural Networks (SBRN), 2006, pp. 36-41.
-
(2006)
Proceedings of the Ninth Brazilian Symposium on Neural Networks (SBRN)
, pp. 36-41
-
-
Santana, A.1
Soares, R.G.F.2
Canuto, A.M.P.3
Souto, M.C.P.4
-
49
-
-
45549107002
-
A dynamic overproduce-and-choose strategy for the selection of classifier ensembles
-
E.M.D. Santos, R. Sabourin, and P. Maupin A dynamic overproduce-and- choose strategy for the selection of classifier ensembles Pattern Recognition 41 10 2008 2993 3009
-
(2008)
Pattern Recognition
, vol.41
, Issue.10
, pp. 2993-3009
-
-
Santos, E.M.D.1
Sabourin, R.2
Maupin, P.3
-
51
-
-
13544267516
-
A dynamic classifier selection and combination approach to image region labelling
-
S. Singh, and M. Singh A dynamic classifier selection and combination approach to image region labelling Signal Processing Image Communication 20 3 2005 219 231
-
(2005)
Signal Processing Image Communication
, vol.20
, Issue.3
, pp. 219-231
-
-
Singh, S.1
Singh, M.2
-
52
-
-
0038137315
-
Ensemble feature selection with the simple Bayesian classification
-
A. Tsymbal, S. Puuronen, and D.W. Patterson Ensemble feature selection with the simple Bayesian classification Information Fusion 4 2 2003 87 100
-
(2003)
Information Fusion
, vol.4
, Issue.2
, pp. 87-100
-
-
Tsymbal, A.1
Puuronen, S.2
Patterson, D.W.3
-
53
-
-
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
-
54
-
-
29144474463
-
An experimental bias-variance analysis of SVM ensembles based on resampling techniques
-
G. Valentini An experimental bias-variance analysis of SVM ensembles based on resampling techniques IEEE Transactions on System, Man and Cybernetics - Part B 35 6 2005 1252 1271
-
(2005)
IEEE Transactions on System, Man and Cybernetics - Part B
, vol.35
, Issue.6
, pp. 1252-1271
-
-
Valentini, G.1
-
56
-
-
57649184377
-
Diversity of ability and cognitive style for group decision processes
-
D. West, and S. Dellana Diversity of ability and cognitive style for group decision processes Information Sciences 179 5 2009 542 558
-
(2009)
Information Sciences
, vol.179
, Issue.5
, pp. 542-558
-
-
West, D.1
Dellana, S.2
-
57
-
-
0001884644
-
Individual comparisons by ranking methods
-
F. Wilcoxon Individual comparisons by ranking methods Biometrics 1 6 1945 80 83
-
(1945)
Biometrics
, vol.1
, Issue.6
, pp. 80-83
-
-
Wilcoxon, F.1
-
58
-
-
10444224738
-
Diversity measures for multiple classifier system analysis and design
-
T. Windeatt Diversity measures for multiple classifier system analysis and design Information Fusion 6 1 2005 21 36 (special issue on Diversity in Multiple Classifier Systems)
-
(2005)
Information Fusion
, vol.6
, Issue.1
, pp. 21-36
-
-
Windeatt, T.1
-
61
-
-
67650498428
-
Structure identification of Bayesian classifiers based on GMDH
-
J. Xiao, C.Z. He, and X.Y. Jiang Structure identification of Bayesian classifiers based on GMDH Knowledge-Based Systems 22 6 2009 461 470
-
(2009)
Knowledge-Based Systems
, vol.22
, Issue.6
, pp. 461-470
-
-
Xiao, J.1
He, C.Z.2
Jiang, X.Y.3
-
62
-
-
77549086087
-
A driver fatigue recognition model based on information fusion and dynamic Bayesian network
-
G. Yang, Y. Lin, and P. Bhattacharya A driver fatigue recognition model based on information fusion and dynamic Bayesian network Information Sciences 180 10 2010 1942 1954
-
(2010)
Information Sciences
, vol.180
, Issue.10
, pp. 1942-1954
-
-
Yang, G.1
Lin, Y.2
Bhattacharya, P.3
-
63
-
-
71849110443
-
A new separation measure for improving the effectiveness of validity indices
-
S. Yue, J.S. Wang, T. Wu, and H. Wang A new separation measure for improving the effectiveness of validity indices Information Sciences 180 5 2010 748 764
-
(2010)
Information Sciences
, vol.180
, Issue.5
, pp. 748-764
-
-
Yue, S.1
Wang, J.S.2
Wu, T.3
Wang, H.4
-
64
-
-
0036567392
-
Ensembling neural networks: Many could be better than all
-
Z.H. Zhou, J. Wu, and W. Tang Ensembling neural networks: many could be better than all Artificial Intelligence 137 1-2 2002 239 263
-
(2002)
Artificial Intelligence
, vol.137
, Issue.12
, pp. 239-263
-
-
Zhou, Z.H.1
Wu, J.2
Tang, W.3
-
65
-
-
19544372918
-
Class noise vs. attribute noise: A quantitative study of their impacts
-
X.Q. Zhu, and X.D. Wu Class noise vs. attribute noise: a quantitative study of their impacts Artificial Intelligence Review 22 3 2004 177 210
-
(2004)
Artificial Intelligence Review
, vol.22
, Issue.3
, pp. 177-210
-
-
Zhu, X.Q.1
Wu, X.D.2
|