-
2
-
-
0037403516
-
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
-
Kuncheva, L.I., Whitaker, C.J.: Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy. Machine Learning 51, 181-207 (2003)
-
(2003)
Machine Learning
, vol.51
, pp. 181-207
-
-
Kuncheva, L.I.1
Whitaker, C.J.2
-
3
-
-
33749018252
-
An Analysis of Diversity Measures
-
Tang, E.K., Suganthan, P.N., Yao, X.: An Analysis of Diversity Measures. Machine Learning 65, 247-271 (2006)
-
(2006)
Machine Learning
, vol.65
, pp. 247-271
-
-
Tang, E.K.1
Suganthan, P.N.2
Yao, X.3
-
4
-
-
78650180662
-
Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality
-
Rahman, A., Verma, B., Yao, X.: Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality. In: International Conference on Neural Information Processing, pp. 551-558 (2010)
-
(2010)
International Conference on Neural Information Processing
, pp. 551-558
-
-
Rahman, A.1
Verma, B.2
Yao, X.3
-
5
-
-
0030211964
-
Bagging Predictors
-
Breiman, L.: Bagging Predictors. Machine Learning 24, 123-140 (1996)
-
(1996)
Machine Learning
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
6
-
-
58249090787
-
A Generalized Adaptive Ensemble Generation and Aggregation Approach for Multiple Classifiers Systems
-
Chen, L., Kamel, M.S.: A Generalized Adaptive Ensemble Generation and Aggregation Approach for Multiple Classifiers Systems. Pattern Recognition 42, 629-644 (2009)
-
(2009)
Pattern Recognition
, vol.42
, pp. 629-644
-
-
Chen, L.1
Kamel, M.S.2
-
7
-
-
29144474640
-
Fuzzy Bagging: A Novel Ensemble of Classifiers
-
Nanni, L., Lumini, A.: Fuzzy Bagging: A Novel Ensemble of Classifiers. Pattern Recognition 39, 488-490 (2006)
-
(2006)
Pattern Recognition
, vol.39
, pp. 488-490
-
-
Nanni, L.1
Lumini, A.2
-
8
-
-
0025448521
-
The Strength of Weak Learnability
-
Schapire, R.E.: The Strength of Weak Learnability. Machine Learning 5, 197-227 (1990)
-
(1990)
Machine Learning
, vol.5
, pp. 197-227
-
-
Schapire, R.E.1
-
9
-
-
0031211090
-
Decision-theoretic Generalization of On-line Learning and an Application to Boosting
-
Freund, Y., Schapire, R.E.: Decision-theoretic Generalization of On-line Learning and an Application to Boosting. Journal of Computer and System Sciences 55, 119-139 (1997)
-
(1997)
Journal of Computer and System Sciences
, vol.55
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
10
-
-
60849105643
-
Constructing Ensembles of Classifiers by Means of Weighted Instance Selection
-
Pedrajas, N.G.: Constructing Ensembles of Classifiers by Means of Weighted Instance Selection. IEEE Transactions on Neural Networks 20, 258-277 (2009)
-
(2009)
IEEE Transactions on Neural Networks
, vol.20
, pp. 258-277
-
-
Pedrajas, N.G.1
-
11
-
-
34247205823
-
Multi-Class Learning by Smoothed Boosting
-
Jin, M., Zhang, J.: Multi-Class Learning by Smoothed Boosting. Machine Learning 67, 207-227 (2007)
-
(2007)
Machine Learning
, vol.67
, pp. 207-227
-
-
Jin, M.1
Zhang, J.2
-
13
-
-
58649083899
-
Learn++. NC: Combining Ensemble of Classifiers with Dynamically Weighted Consult-and-vote for Efficient Incremental Learning of New Classes
-
Muhlbaier, M.D., Topalis, A., Polikar, R.: Learn++. NC: Combining Ensemble of Classifiers with Dynamically Weighted Consult-and-vote for Efficient Incremental Learning of New Classes. IEEE Transactions on Neural Networks 20, 152-168 (2009)
-
(2009)
IEEE Transactions on Neural Networks
, vol.20
, pp. 152-168
-
-
Muhlbaier, M.D.1
Topalis, A.2
Polikar, R.3
-
15
-
-
7444228672
-
Space Decomposition in Data Mining: A Clustering Approach
-
Rokach, L., Maimon, O., Lavi, I.: Space Decomposition in Data Mining: a Clustering Approach. In: Int. Symposium on Methodologies for Intelligent Systems, Maebashi, pp. 24-31 (2003)
-
(2003)
Int. Symposium on Methodologies for Intelligent Systems, Maebashi
, pp. 24-31
-
-
Rokach, L.1
Maimon, O.2
Lavi, I.3
-
16
-
-
0036532571
-
Switching between Selection and Fusion in Combining Classifiers: An Experiment
-
Kuncheva, L.I.: Switching Between Selection and Fusion in Combining Classifiers: an Experiment. IEEE Transactions on Systems, Man and Cybernetics 32, 146-156 (2002)
-
(2002)
IEEE Transactions on Systems, Man and Cybernetics
, vol.32
, pp. 146-156
-
-
Kuncheva, L.I.1
-
17
-
-
74849135484
-
Clustering based Multi-Label Classification for Image Annotation and Retrieval
-
Nasierding, G., Tsoumakas, G., Kouzani, A.Z.: Clustering based Multi-Label Classification for Image Annotation and Retrieval. IEEE Int. Conference on Systems, Man and Cybernetics, 4514-4519 (2009)
-
(2009)
IEEE Int. Conference on Systems, Man and Cybernetics
, pp. 4514-4519
-
-
Nasierding, G.1
Tsoumakas, G.2
Kouzani, A.Z.3
-
18
-
-
76249085189
-
Random Subspace Ensembles for FMRI Classification
-
Kuncheva, L.I., Rodriguez, J.J., Plumpton, C.O., Linden, D.E., Johnston, S.J.: Random Subspace Ensembles for FMRI Classification. IEEE Transactions on Medical Imaging 29, 531-542 (2010)
-
(2010)
IEEE Transactions on Medical Imaging
, vol.29
, pp. 531-542
-
-
Kuncheva, L.I.1
Rodriguez, J.J.2
Plumpton, C.O.3
Linden, D.E.4
Johnston, S.J.5
-
19
-
-
78649934709
-
-
School of Information and Computer Science
-
Frank, A., Asuncion, A.: UCI Machine Learning Repository: University of California, School of Information and Computer Science, http://archive.ics.uci. edu/ml
-
UCI Machine Learning Repository
-
-
Frank, A.1
Asuncion, A.2
-
20
-
-
34147126272
-
Pairwise Fusion Matrix for Combining Classifiers
-
Ko, A.H.R.R., Sabourin, A., de Britto, S., Oliverira, L.: Pairwise Fusion Matrix for Combining Classifiers. Pattern Recognition 40, 2198-2210 (2007)
-
(2007)
Pattern Recognition
, vol.40
, pp. 2198-2210
-
-
Ko, A.H.R.R.1
Sabourin, A.2
De Britto, S.3
Oliverira, L.4
-
21
-
-
0000646059
-
Learning Internal Representations by Error Propagation
-
Rumelhart, D., Hinton, G., Williams, R.: Learning Internal Representations by Error Propagation. Parallel Distributed Processing 1, 318-363 (1986)
-
(1986)
Parallel Distributed Processing
, vol.1
, pp. 318-363
-
-
Rumelhart, D.1
Hinton, G.2
Williams, R.3
-
24
-
-
33744983327
-
Adaptive Fusion and Co-Operative Training for Classifier Ensembles
-
Wanas, N.M., Dara, R.A., Kamel, M.S.: Adaptive Fusion and Co-Operative Training for Classifier Ensembles. Pattern Recognition 39, 1781-1794 (2006)
-
(2006)
Pattern Recognition
, vol.39
, pp. 1781-1794
-
-
Wanas, N.M.1
Dara, R.A.2
Kamel, M.S.3
|