-
1
-
-
0031399486
-
Cloud classification using error-correcting output codes
-
D. Aha and R. Bankert. Cloud classification using error-correcting output codes. In Artificial Intelligence Applications: Natural Science, Agriculture and Environmental Science, volume 11, pages 13-28. 1997. 10 (Pubitemid 28249751)
-
(1997)
AI Applications
, vol.11
, Issue.1
, pp. 13-28
-
-
Aha, D.W.1
Bankert, R.L.2
-
2
-
-
0030235637
-
Error reduction through learning multiple descriptions
-
K.M. Ali and M. J. Pazzani. Error reduction through learning multiple descriptions. Machine Learning, 24(3):173-202, 1996. (Pubitemid 126724384)
-
(1996)
Machine Learning
, vol.24
, Issue.3
, pp. 173-202
-
-
Ali, K.M.1
Pazzani, M.J.2
-
3
-
-
24044435942
-
Reducing multiclass to binary: A unifying approach for margin classifiers
-
E. L. Allwein, R.E. Schapire, and Y. Singer. Reducing multiclass to binary: a unifying approach for margin classifiers. Journal of Machine Learning Research, 1:113-141, 2000. 3, 6, 10 (Pubitemid 33738778)
-
(2001)
Journal of Machine Learning Research
, vol.1
, Issue.2
, pp. 113-141
-
-
Allwein, E.L.1
Schapire, R.E.2
Singer, Y.3
-
4
-
-
0033330591
-
Learning error-correcting output codes from data
-
E. Alpaydin and E. Mayoraz. Learning error-correcting output codes from data. In ICANN'99, pages 743-748, Edinburgh, UK, 1999. 10 (Pubitemid 30519857)
-
(1999)
IEE Conference Publication
, vol.2
, Issue.470
, pp. 743-748
-
-
Alpaydin Ethem1
Mayoraz Eddy2
-
5
-
-
0029183827
-
Efficient classification for multiclass problems using modular neural networks
-
10
-
R. Anand, G. Mehrotra, C. K. Mohan, and S. Ranka. Efficient classification for multiclass problems using modular neural networks. IEEE Transactions on Neural Networks, 6:117-124, 1995. 10
-
(1995)
IEEE Transactions on Neural Networks
, vol.6
, pp. 117-124
-
-
Anand, R.1
Mehrotra, G.2
Mohan, C.K.3
Ranka, S.4
-
7
-
-
0028257732
-
Democracy in neural nets: Voting schemes for classification
-
3
-
R. Battiti and A.M. Colla. Democracy in neural nets: Voting schemes for classification. Neural Networks, 7:691-707, 1994. 3
-
(1994)
Neural Networks
, vol.7
, pp. 691-707
-
-
Battiti, R.1
Colla, A.M.2
-
8
-
-
0032645080
-
An empirical comparison of voting classification algorithms: Bagging, boosting and variants
-
3
-
E. Bauer and R. Kohavi. An empirical comparison of voting classification algorithms: Bagging, boosting and variants. Machine Learning, 36(1/2):525-536, 1999. 3
-
(1999)
Machine Learning
, vol.36
, Issue.1-2
, pp. 525-536
-
-
Bauer, E.1
Kohavi, R.2
-
9
-
-
0030790587
-
Parallel consensual neural networks
-
7
-
J. Benediktsson, J. Sveinsson, O. Ersoy, and P. Swain. Parallel consensual neural networks. IEEE Transactions on Neural Networks, 8:54-65, 1997. 7
-
(1997)
IEEE Transactions on Neural Networks
, vol.8
, pp. 54-65
-
-
Benediktsson, J.1
Sveinsson, J.2
Ersoy, O.3
Swain, P.4
-
14
-
-
50549175697
-
On a class of error correcting binary group codes
-
10
-
R.C. Bose and D.K. Ray-Chauduri. On a class of error correcting binary group codes. Information and Control, (3):68-79, 1960. 10
-
(1960)
Information and Control
, Issue.3
, pp. 68-79
-
-
Bose, R.C.1
Ray-Chauduri, D.K.2
-
15
-
-
0030211964
-
Bagging predictors
-
L. Breiman. Bagging predictors. Machine Learning, 24(2):123-140, 1996. 6, 8 (Pubitemid 126724382)
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
16
-
-
0346786584
-
Arcing classifiers
-
L. Breiman. Arcing classifiers. The Annals of Statistics, 26(3):801-849, 1998. 8 (Pubitemid 128450035)
-
(1998)
Annals of Statistics
, vol.26
, Issue.3
, pp. 801-849
-
-
Breiman, L.1
-
17
-
-
0000275022
-
Prediction games and arcing classifiers
-
8
-
L. Breiman. Prediction games and arcing classifiers. Neural Computation, 11(7):1493-1517, 1999. 8
-
(1999)
Neural Computation
, vol.11
, Issue.7
, pp. 1493-1517
-
-
Breiman, L.1
-
18
-
-
0008578789
-
Combining classifiers fir the recognition of handwritten digits
-
Prague, Czech republic, 7, 9
-
M. Breukelen van, R. P.W. Duin, D. Tax, and J. E. Hartog den. Combining classifiers fir the recognition of handwritten digits. In Ist IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, pages 13-18, Prague, Czech republic, 1997. 7, 9
-
(1997)
Ist IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition
, pp. 13-18
-
-
Van Breukelen, M.1
Duin, R.P.W.2
Tax, D.3
Hartog Den, J.E.4
-
19
-
-
84865736463
-
Boosting, bagging, and consensus based classification of multisource remote sensing data
-
Multiple Classifier Systems
-
G. J. Briem, J.A. Benediktsson, and J.R. Sveinsson. Boosting. Bagging and Consensus Based Classification of Multisource Remote Sensing Data. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. Second International Workshop, MCS 2001, Cambridge, UK, volume 2096 of Lecture Notes in Computer Science, pages 279-288. Springer-Verlag, 2001. 7 (Pubitemid 33303235)
-
(2001)
Lecture Notes in Computer Science
, Issue.2096
, pp. 279-288
-
-
Briem, G.J.1
Benediktsson, J.A.2
Sveinsson, J.R.3
-
21
-
-
0001920992
-
Human expert-level performance on a scientific image analysis task by a system using combined artificial neural networks
-
Chan P., editor, 9
-
K. J. Cherkauker. Human expert-level performance on a scientific image analysis task by a system using combined artificial neural networks. In Chan P., editor, Working notes of the AAAI Workshop on Integrating Multiple Learned Models, pages 15-21. 1996. 9
-
(1996)
Working Notes of the AAAI Workshop on Integrating Multiple Learned Models
, pp. 15-21
-
-
Cherkauker, K.J.1
-
22
-
-
0029247604
-
Combining multiple neural networks by fuzzy integral and robust classification
-
7
-
S. Cho and J. Kim. Combining multiple neural networks by fuzzy integral and robust classification. IEEE Transactions on Systems, Man and Cybernetics, 25:380-384, 1995. 7
-
(1995)
IEEE Transactions on Systems, Man and Cybernetics
, vol.25
, pp. 380-384
-
-
Cho, S.1
Kim, J.2
-
23
-
-
0029264250
-
Multiple network fusion using fuzzy logic
-
3, 7
-
S. Cho and J. Kim. Multiple network fusion using fuzzy logic. IEEE Transactions on Neural Networks, 6:497-501, 1995. 3, 7
-
(1995)
IEEE Transactions on Neural Networks
, vol.6
, pp. 497-501
-
-
Cho, S.1
Kim, J.2
-
24
-
-
0037776084
-
A hybrid projection based and radial basis function architecture
-
J. Kittler and F. Roli, editors, 1857 of Lecture Notes in Computer Science. Springer-Verlag. 9
-
S. Cohen and N. Intrator. A Hybrid Projection Based and Radial Basis Function Architecture. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy, volume 1857 of Lecture Notes in Computer Science, pages 147-156. Springer-Verlag, 2000. 9
-
(2000)
Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy
, pp. 147-156
-
-
Cohen, S.1
Intrator, N.2
-
25
-
-
1642395900
-
Automatic model selection in a hybrid perceptron/radial network
-
Cambridge, UK, 2096 of Lecture Notes in Computer Science. Springer-Verlag. 9
-
S. Cohen and N. Intrator. Automatic Model Selection in a Hybrid Perceptron/Radial Network. In Multiple Classifier Systems. Second International Workshop, MCS 2001, Cambridge, UK, volume 2096 of Lecture Notes in Computer Science, pages 349-358. Springer-Verlag, 2001. 9
-
(2001)
Multiple Classifier Systems. Second International Workshop, MCS 2001
, pp. 349-358
-
-
Cohen, S.1
Intrator, N.2
-
28
-
-
80053403826
-
Ensemble methods in machine learning
-
J. Kittler and F. Roli, editors, Cagliari, Italy, 1857 of Lecture Notes in Computer Science. Springer-Verlag, 4, 10
-
T. G. Dietterich. Ensemble methods in machine learning. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy, volume 1857 of Lecture Notes in Computer Science, pages 1-15. Springer-Verlag, 2000. 4, 10
-
(2000)
Multiple Classifier Systems. First International Workshop, MCS 2000
, pp. 1-15
-
-
Dietterich, T.G.1
-
29
-
-
0034250160
-
An experimental comparison of three methods for constructing ensembles of decision tress: Bagging, boosting and randomization
-
3, 8, 11
-
T.G. Dietterich. An experimental comparison of three methods for constructing ensembles of decision tress: Bagging, boosting and randomization. Machine Learning, 40(2):139-158, 2000. 3, 8, 11
-
(2000)
Machine Learning
, vol.40
, Issue.2
, pp. 139-158
-
-
Dietterich, T.G.1
-
30
-
-
69549123046
-
Error - Correcting output codes: A general method for improving multiclass inductive learning programs
-
AAAI Press / MIT Press, 10
-
T. G. Dietterich and G. Bakiri. Error - correcting output codes: A general method for improving multiclass inductive learning programs. In Proceedings of AAAI-91, pages 572-577. AAAI Press / MIT Press, 1991. 10
-
(1991)
Proceedings of AAAI-91
, pp. 572-577
-
-
Dietterich, T.G.1
Bakiri, G.2
-
31
-
-
0000406788
-
Solving multiclass learning problems via errorcorrecting output codes
-
10
-
T. G. Dietterich and G. Bakiri. Solving multiclass learning problems via errorcorrecting output codes. Journal of Artificial Intelligence Research, (2):263-286, 1995. 10
-
(1995)
Journal of Artificial Intelligence Research
, Issue.2
, pp. 263-286
-
-
Dietterich, T.G.1
Bakiri, G.2
-
33
-
-
0001337304
-
Boosting and other ensemble methods
-
3, 8
-
H. Drucker, C. Cortes, L. Jackel, Y. LeCun, and V. Vapnik. Boosting and other ensemble methods. Neural Computation, 6(6):1289-1301, 1994. 3, 8
-
(1994)
Neural Computation
, vol.6
, Issue.6
, pp. 1289-1301
-
-
Drucker, H.1
Cortes, C.2
Jackel, L.3
Lecun, Y.4
Vapnik, V.5
-
34
-
-
84867038939
-
Experiments with classifier combination rules
-
J. Kittler and F. Roli, editors, Cagliari, Italy, 1857 of Lecture Notes in Computer Science. Springer-Verlag. 7, 9
-
R. P.W. Duin and D.M. J. Tax. Experiments with Classifier Combination Rules. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy, volume 1857 of Lecture Notes in Computer Science, pages 16-29. Springer-Verlag, 2000. 7, 9
-
(2000)
Multiple Classifier Systems. First International Workshop, MCS 2000
, pp. 16-29
-
-
Duin, R.P.W.1
Tax, D.M.J.2
-
36
-
-
0000155950
-
The cascade-correlation learning architecture
-
D. S. Touretzky, editor. Morgan Kauffman, San Mateo, CA, 9
-
S.E. Fahlman and C. Lebiere. The cascade-correlation learning architecture. In D. S. Touretzky, editor, Advances in Neural Information Processing Systems, volume 2, pages 524-532. Morgan Kauffman, San Mateo, CA, 1990. 9
-
(1990)
Advances in Neural Information Processing Systems
, vol.2
, pp. 524-532
-
-
Fahlman, S.E.1
Lebiere, C.2
-
37
-
-
0028756112
-
Multi-layer perceptron ensembles for increased performance and fault-tolerance in pattern recognition tasks
-
Orlando, Florida, 3
-
E. Filippi, M. Costa, and E. Pasero. Multi-layer perceptron ensembles for increased performance and fault-tolerance in pattern recognition tasks. In IEEE International Conference on Neural Networks, pages 2901-2906, Orlando, Florida, 1994. 3
-
(1994)
IEEE International Conference on Neural Networks
, pp. 2901-2906
-
-
Filippi, E.1
Costa, M.2
Pasero, E.3
-
38
-
-
58149321460
-
Boosting a weak learning algorithm by majority
-
8
-
Y. Freund. Boosting a weak learning algorithm by majority. Information and Computation, 121(2):256-285, 1995. 8
-
(1995)
Information and Computation
, vol.121
, Issue.2
, pp. 256-285
-
-
Freund, Y.1
-
39
-
-
0031211090
-
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
-
Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and Systems Sciences, 55(1):119-139, 1997. 6, 8 (Pubitemid 127433398)
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
41
-
-
0035470889
-
Greedy function approximation: A gradient boosting machine
-
8
-
J. Friedman. Greedy function approximation: A gradient boosting machine. The Annals of Statistics, 39(5), 2001. 8
-
(2001)
The Annals of Statistics
, vol.39
, Issue.5
-
-
Friedman, J.1
-
42
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting
-
8
-
J. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: A statistical view of boosting. The Annals of Statistics, 38(2):337-374, 2000. 8
-
(2000)
The Annals of Statistics
, vol.38
, Issue.2
, pp. 337-374
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
43
-
-
21744462998
-
On bias, variance, 0/1 loss and the curse of dimensionality
-
9
-
J.H. Friedman. On bias, variance, 0/1 loss and the curse of dimensionality. Data Mining and Knowledge Discovery, 1:55-77, 1997. 9
-
(1997)
Data Mining and Knowledge Discovery
, vol.1
, pp. 55-77
-
-
Friedman, J.H.1
-
44
-
-
84867079959
-
Boosting of tree-based classifiers for predictive risk modeling in GIS
-
J. Kittler and F. Roli, editors. Springer-Verlag, Cagliari, Italy, volume 1857 of Lecture Notes in Computer Science
-
C. Furlanello and S. Merler. Boosting of Tree-based Classifiers for Predictive Risk Modeling in GIS. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy, volume 1857 of Lecture Notes in Computer Science, pages 220-229. Springer-Verlag, 2000.
-
(2000)
Multiple Classifier Systems. First International Workshop, MCS 2000
, pp. 220-229
-
-
Furlanello, C.1
Merler, S.2
-
45
-
-
0001942829
-
Neural networks and the biasvariance dilemma
-
6
-
S. Geman, E. Bienenstock, and R. Doursat. Neural networks and the biasvariance dilemma. Neural Computation, 4(1):1-58, 1992. 6
-
(1992)
Neural Computation
, vol.4
, Issue.1
, pp. 1-58
-
-
Geman, S.1
Bienenstock, E.2
Doursat, R.3
-
46
-
-
0011803637
-
Using error correcting output codes for text classification
-
San Francisco, US, Morgan Kaufmann Publishers. 10
-
R. Ghani. Using error correcting output codes for text classification. In ICML 2000: Proceedings of the 17th International Conference on Machine Learning, pages 303-310, San Francisco, US, 2000. Morgan Kaufmann Publishers. 10
-
(2000)
ICML 2000: Proceedings of the 17th International Conference on Machine Learning
, pp. 303-310
-
-
Ghani, R.1
-
47
-
-
84867091494
-
Dynamic classifier fusion
-
J. Kittler and F. Roli, editors, Cagliari, Italy, 1857 of Lecture Notes in Computer Science. Springer-Verlag. 11
-
G. Giacinto and F. Roli. Dynamic Classifier Fusion. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy, volume 1857 of Lecture Notes in Computer Science, pages 177-189. Springer-Verlag, 2000. 11
-
(2000)
Multiple Classifier Systems. First International Workshop, MCS 2000
, pp. 177-189
-
-
Giacinto, G.1
Roli, F.2
-
48
-
-
0035202645
-
An approach to automatic design of multiple classifier systems
-
11
-
G. Giacinto and F. Roli. An approach to automatic design of multiple classifier systems. Pattern Recognition Letters, 22:25-33, 2001. 11
-
(2001)
Pattern Recognition Letters
, vol.22
, pp. 25-33
-
-
Giacinto, G.1
Roli, F.2
-
50
-
-
0032355984
-
Classification by pairwise coupling
-
10
-
T. Hastie and R. Tibshirani. Classification by pairwise coupling. The Annals of Statistics, 26(1):451-471, 1998. 10
-
(1998)
The Annals of Statistics
, vol.26
, Issue.1
, pp. 451-471
-
-
Hastie, T.1
Tibshirani, R.2
-
51
-
-
0032139235
-
The random subspace method for constructing decision forests
-
T. K. Ho. The random subspace method for constructing decision forests. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(8):832-844, 1998. 5, 9 (Pubitemid 128741345)
-
(1998)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.20
, Issue.8
, pp. 832-844
-
-
Ho, T.K.1
-
52
-
-
84867095498
-
Complexity of classification problems ans comparative advantages of combined classifiers
-
J. Kittler and F. Roli, editors, Cagliari, Italy, 1857 of Lecture Notes in Computer Science. Springer-Verlag. 12
-
T.K. Ho. Complexity of Classification Problems ans Comparative Advantages of Combined Classifiers. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy, volume 1857 of Lecture Notes in Computer Science, pages 97-106. Springer-Verlag, 2000. 12
-
(2000)
Multiple Classifier Systems. First International Workshop, MCS 2000
, pp. 97-106
-
-
Ho, T.K.1
-
53
-
-
84956973748
-
Data complexity analysis for classifier combination
-
Multiple Classifier Systems
-
T.K. Ho. Data Complexity Analysis for Classifiers Combination. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. Second International Workshop, MCS 2001, Cambridge, UK, volume 2096 of Lecture Notes in Computer Science, pages 53-67, Berlin, 2001. Springer-Verlag. 12 (Pubitemid 33303213)
-
(2001)
Lecture Notes in Computer Science
, Issue.2096
, pp. 53-67
-
-
Ho, T.K.1
-
54
-
-
0031121318
-
Decision combination in multiple classifiers
-
11
-
T.K. Ho, J. J. Hull, and S.N. Srihari. Decision combination in multiple classifiers. IEEE Trans. on Pattern Analysis and Machine Intelligence, 19(4):405-410, 1997. 11
-
(1997)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.19
, Issue.4
, pp. 405-410
-
-
Ho, T.K.1
Hull, J.J.2
Srihari, S.N.3
-
55
-
-
0025751820
-
Approximation capabilities of multilayer feedforward networks
-
5
-
K. Hornik. Approximation capabilities of multilayer feedforward networks. Neural Networks, 4:251-257, 1991. 5
-
(1991)
Neural Networks
, vol.4
, pp. 251-257
-
-
Hornik, K.1
-
56
-
-
0029230267
-
Combination of multiple experts for the recognition of unconstrained handwritten numerals
-
7
-
Y. S. Huang and Suen. C. Y. Combination of multiple experts for the recognition of unconstrained handwritten numerals. IEEE Trans. on Pattern Analysis and Machine Intelligence, 17:90-94, 1995. 7
-
(1995)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.17
, pp. 90-94
-
-
Huang, Y.S.1
Suen, C.Y.2
-
57
-
-
0001815269
-
Constructing optimal binary decision tree is npcomplete
-
5
-
L. Hyafil and R. L. Rivest. Constructing optimal binary decision tree is npcomplete. Information Processing Letters, 5(1):15-17, 1976. 5
-
(1976)
Information Processing Letters
, vol.5
, Issue.1
, pp. 15-17
-
-
Hyafil, L.1
Rivest, R.L.2
-
58
-
-
23044519609
-
A new evaluation method for expert combination in multi-expert system designing
-
J. Kittler and F. Roli, editors, Cagliari, Italy, 1857 of Lecture Notes in Computer Science. Springer-Verlag. 7
-
S. Impedovo and A. Salzo. A New Evaluation Method for Expert Combination in Multi-expert System Designing. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy, volume 1857 of Lecture Notes in Computer Science, pages 230-239. Springer-Verlag, 2000. 7
-
(2000)
Multiple Classifier Systems. First International Workshop, MCS 2000
, pp. 230-239
-
-
Impedovo, S.1
Salzo, A.2
-
59
-
-
0029372769
-
Methods for combining experts probability assessment
-
9
-
R.A. Jacobs. Methods for combining experts probability assessment. Neural Computation, 7:867-888, 1995. 9
-
(1995)
Neural Computation
, vol.7
, pp. 867-888
-
-
Jacobs, R.A.1
-
60
-
-
0001940458
-
Adaptive mixtures of local experts
-
9
-
R. A. Jacobs, M. I. Jordan, S. J. Nowlan, and G. E. Hinton. Adaptive mixtures of local experts. Neural Computation, 3(1):125-130, 1991. 9
-
(1991)
Neural Computation
, vol.3
, Issue.1
, pp. 125-130
-
-
Jacobs, R.A.1
Jordan, M.I.2
Nowlan, S.J.3
Hinton, G.E.4
-
61
-
-
0033640646
-
Statistical pattern recognition: A review
-
DOI 10.1109/34.824819
-
A. Jain, R. Duin, and J. Mao. Statistical pattern recognition: a review. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22:4-37, 2000. 3, 6 (Pubitemid 32132953)
-
(2000)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.22
, Issue.1
, pp. 4-37
-
-
Jain, A.K.1
Duin, R.P.W.2
Mao, J.3
-
62
-
-
0004033574
-
-
PhD thesis, Department of Statistics - Stanford University, Stanford, CA, 10
-
G. James. Majority vote classifiers: theory and applications. PhD thesis, Department of Statistics - Stanford University, Stanford, CA, 1998. 10
-
(1998)
Majority Vote Classifiers: Theory and Applications
-
-
James, G.1
-
63
-
-
0030736561
-
Combinination of weak classifiers
-
5
-
C. Ji and S. Ma. Combinination of weak classifiers. IEEE Trans. Neural Networks, 8(1):32-42, 1997. 5
-
(1997)
IEEE Trans. Neural Networks
, vol.8
, Issue.1
, pp. 32-42
-
-
Ji, C.1
Ma, S.2
-
64
-
-
0001632132
-
Hierarchies of adaptive experts
-
Morgan Kauffman, San Mateo, CA, 9
-
M. Jordan and R. Jacobs. Hierarchies of adaptive experts. In Advances in Neural Information Processing Systems, volume 4, pages 985-992. Morgan Kauffman, San Mateo, CA, 1992. 9
-
(1992)
Advances in Neural Information Processing Systems
, vol.4
, pp. 985-992
-
-
Jordan, M.1
Jacobs, R.2
-
65
-
-
0000262562
-
Hierarchical mixture of experts and the em algorithm
-
9
-
M. I. Jordan and R.A. Jacobs. Hierarchical mixture of experts and the em algorithm. Neural Computation, 6:181-214, 1994. 9
-
(1994)
Neural Computation
, vol.6
, pp. 181-214
-
-
Jordan, M.I.1
Jacobs, R.A.2
-
66
-
-
0028481924
-
Advances in fuzzy integratiopn for pattern recognition
-
7
-
J.M. Keller, P. Gader, H. Tahani, J. Chiang, and M. Mohamed. Advances in fuzzy integratiopn for pattern recognition. Fuzzy Sets and Systems, 65:273-283, 1994. 7
-
(1994)
Fuzzy Sets and Systems
, vol.65
, pp. 273-283
-
-
Keller, J.M.1
Gader, P.2
Tahani, H.3
Chiang, J.4
Mohamed, M.5
-
67
-
-
0026367884
-
Handwritten numerical recognition based on multiple algorithms
-
6
-
F. Kimura and M. Shridar. Handwritten Numerical Recognition Based on Multiple Algorithms. Pattern Recognition, 24(10):969-983, 1991. 6
-
(1991)
Pattern Recognition
, vol.24
, Issue.10
, pp. 969-983
-
-
Kimura, F.1
Shridar, M.2
-
68
-
-
22444454265
-
Combining classifiers: A theoretical framework
-
J. Kittler. Combining classifiers: a theoretical framework. Pattern Analysis and Applications, (1):18-27, 1998. 6 (Pubitemid 128697160)
-
(1998)
Pattern Analysis and Applications
, vol.1
, Issue.1
, pp. 18-27
-
-
Kittler, J.1
-
69
-
-
0032021555
-
On combining classifiers
-
J. Kittler, M. Hatef, R. P.W. Duin, and Matas J. On combining classifiers. IEEE Trans. on Pattern Analysis and Machine Intelligence, 20(3):226-239, 1998. 3, 6, 7 (Pubitemid 128741312)
-
(1998)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.20
, Issue.3
, pp. 226-239
-
-
Kittler, J.1
Hatef, M.2
Duin, R.P.W.3
Matas, J.4
-
70
-
-
84865730939
-
-
volume 1857 of Lecture Notes in Computer Science. Springer-Verlag, Berlin. 3
-
J. Kittler and F. (editors) Roli. Multiple Classifier Systems, Proc. of 1st International Workshop, MCS 2000, Cagliari, Italy, volume 1857 of Lecture Notes in Computer Science. Springer-Verlag, Berlin, 2000. 3
-
(2000)
Multiple Classifier Systems, Proc. of 1st International Workshop, MCS 2000, Cagliari, Italy
-
-
Kittler, J.1
Roli, F.2
-
71
-
-
84865730937
-
-
Springer-Verlag, Berlin, 3
-
J. Kittler and F. (editors) Roli. Multiple Classifier Systems, Proc. of 2nd International Workshop, MCS2001, Cambridge, UK. Springer-Verlag, Berlin, 2001. 3
-
(2001)
Multiple Classifier Systems, Proc. of 2nd International Workshop, MCS2001, Cambridge, UK
-
-
Kittler, J.1
Roli, F.2
-
74
-
-
0030343231
-
An overtraining-resistant stochastic modeling method for pattern recognition
-
5, 8
-
E.M. Kleinberg. An overtraining-resistant stochastic modeling method for pattern recognition. Annals of Statistics, 4(6):2319-2349, 1996. 5, 8
-
(1996)
Annals of Statistics
, vol.4
, Issue.6
, pp. 2319-2349
-
-
Kleinberg, E.M.1
-
75
-
-
56749113088
-
A mathematically rigorous foundation for supervised learning
-
J. Kittler and F. Roli, editors, 1857 of Lecture Notes in Computer Science. Springer-Verlag, 3, 8
-
E.M. Kleinberg. A Mathematically Rigorous Foundation for Supervised Learning. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy, volume 1857 of Lecture Notes in Computer Science, pages 67-76. Springer-Verlag, 2000. 3, 8
-
(2000)
Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy
, pp. 67-76
-
-
Kleinberg, E.M.1
-
76
-
-
0000670848
-
Back propagation is sensitive to initial conditions
-
Morgan Kauffman, San Francisco, CA, 11
-
J. Kolen and Pollack J. Back propagation is sensitive to initial conditions. In Advances in Neural Information Processing Systems, volume 3, pages 860-867. Morgan Kauffman, San Francisco, CA, 1991. 11
-
(1991)
Advances in Neural Information Processing Systems
, vol.3
, pp. 860-867
-
-
Kolen, J.1
Pollack, J.2
-
77
-
-
84992322729
-
Error - Correcting output coding correct bias and variance
-
San Francisco, CA. Morgan Kauffman 6, 10
-
E. Kong and T.G. Dietterich. Error - correcting output coding correct bias and variance. In The XII International Conference on Machine Learning, pages 313-321, San Francisco, CA, 1995. Morgan Kauffman. 6, 10
-
(1995)
The XII International Conference on Machine Learning
, pp. 313-321
-
-
Kong, E.1
Dietterich, T.G.2
-
78
-
-
0000749354
-
Neural networks ensembles, cross validation and active learning
-
D. S. Touretzky, G. Tesauro, and T. K. Leen, editors. MIT Press, Cambridge, MA, 6
-
A. Krogh and J. Vedelsby. Neural networks ensembles, cross validation and active learning. In D. S. Touretzky, G. Tesauro, and T. K. Leen, editors, Advances in Neural Information Processing Systems, volume 7, pages 107-115. MIT Press, Cambridge, MA, 1995. 6
-
(1995)
Advances in Neural Information Processing Systems
, vol.7
, pp. 107-115
-
-
Krogh, A.1
Vedelsby, J.2
-
79
-
-
0027610524
-
Genetic algorithm for feature selection for parallel classifiers
-
9
-
L. I. Kuncheva. Genetic algorithm for feature selection for parallel classifiers. Information Processing Letters, 46:163-168, 1993. 9
-
(1993)
Information Processing Letters
, vol.46
, pp. 163-168
-
-
Kuncheva, L.I.1
-
80
-
-
0037740553
-
An application of OWA operators to the aggragation of multiple classification decisions
-
Kluwer Academic Publisher, USA, 7
-
L. I. Kuncheva. An application of OWA operators to the aggragation of multiple classification decisions. In The Ordered Weighted Averaging operators. Theory and Applciations, pages 330-343. Kluwer Academic Publisher, USA, 1997. 7
-
(1997)
The Ordered Weighted Averaging Operators. Theory and Applciations
, pp. 330-343
-
-
Kuncheva, L.I.1
-
81
-
-
0034830461
-
Decision templates for multiple classifier fusion: An experimental comparison
-
DOI 10.1016/S0031-3203(99)00223-X
-
L. I. Kuncheva, J.C. Bezdek, and R. P.W. Duin. Decision templates for multiple classifier fusion: an experimental comparison. Pattern Recognition, 34(2):299-314, 2001. 6, 7, 9 (Pubitemid 32871876)
-
(2001)
Pattern Recognition
, vol.34
, Issue.2
, pp. 299-314
-
-
Kuncheva, L.I.1
Bezdek, J.C.2
Duin, R.P.W.3
-
82
-
-
84925741661
-
Complexity of data subsets generated by the random subspace method: An experimental investigationd
-
Multiple Classifier Systems
-
L. I. Kuncheva, F. Roli, G. L. Marcialis, and C. A. Shipp. Complexity of Data Subsets Generated by the Random Subspace Method: An Experimental Investigation. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. Second International Workshop, MCS 2001, Cambridge, UK, volume 2096 of Lecture Notes in Computer Science, pages 349-358. Springer-Verlag, 2001. 9 (Pubitemid 33303242)
-
(2001)
Lecture Notes in Computer Science
, Issue.2096
, pp. 349-358
-
-
Kuncheva, L.I.1
Roli, F.2
Marcialis, G.L.3
Shipp, C.A.4
-
83
-
-
84956971830
-
Feature subsets for classifier combination: An enumerative experiment
-
Multiple Classifier Systems
-
L. I. Kuncheva and C. J. Whitaker. Feature Subsets for Classifier Combination: An Enumerative Experiment. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. Second International Workshop, MCS 2001, Cambridge, UK, volume 2096 of Lecture Notes in Computer Science, pages 228-237. Springer-Verlag, 2001. 9 (Pubitemid 33303230)
-
(2001)
Lecture Notes in Computer Science
, Issue.2096
, pp. 228-237
-
-
Kuncheva, L.I.1
Whitaker, C.J.2
-
85
-
-
84867038166
-
Classifier combinations: Implementations and theoretical issues
-
1857 of Lecture Notes in Computer Science. Springer-Verlag. 5, 6
-
L. Lam. Classifier combinations: Implementations and theoretical issues. In Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy, volume 1857 of Lecture Notes in Computer Science, pages 77-86. Springer-Verlag, 2000. 5, 6
-
(2000)
Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy
, pp. 77-86
-
-
Lam, L.1
-
86
-
-
0029373189
-
Optimal combination of pattern classifiers
-
3, 6
-
L. Lam and C. Sue. Optimal combination of pattern classifiers. Pattern Recognition Letters, 16:945-954, 1995. 3, 6
-
(1995)
Pattern Recognition Letters
, vol.16
, pp. 945-954
-
-
Lam, L.1
Sue, C.2
-
87
-
-
0031238275
-
Application of majority voting to pattern recognition: An analysis of its behavior and performance
-
PII S1083442797062024
-
L. Lam and C. Sue. Application of majority voting to pattern recognition: an analysis of its behavior and performance. IEEE Transactions on Systems, Man and Cybernetics, 27(5):553-568, 1997. 6 (Pubitemid 127770722)
-
(1997)
IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.
, vol.27
, Issue.5
, pp. 553-568
-
-
Lam, L.1
Suen, C.Y.2
-
89
-
-
0033870982
-
Improved generalization through explicit optimization of margins
-
6
-
L. Mason, P. Bartlett, and J. Baxter. Improved generalization through explicit optimization of margins. Machine Learning, 2000. 6
-
(2000)
Machine Learning
-
-
Mason, L.1
Bartlett, P.2
Baxter, J.3
-
90
-
-
0033652536
-
Comparing decomposition methods for classification
-
R. J. Howlett and L.C. Jain, editors, Piscataway, NJ. IEEE. 10
-
F. Masulli and G. Valentini. Comparing decomposition methods for classification. In R. J. Howlett and L.C. Jain, editors, KES'2000, Fourth International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies, pages 788-791, Piscataway, NJ, 2000. IEEE. 10
-
(2000)
KES'2000, Fourth International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies
, pp. 788-791
-
-
Masulli, F.1
Valentini, G.2
-
91
-
-
84867071286
-
Effectiveness of error correcting output codes in multiclass learning problems
-
Springer-Verlag, Berlin, Heidelberg, 10
-
F. Masulli and G. Valentini. Effectiveness of error correcting output codes in multiclass learning problems. In Lecture Notes in Computer Science, volume 1857, pages 107-116. Springer-Verlag, Berlin, Heidelberg, 2000. 10
-
(2000)
Lecture Notes in Computer Science
, vol.1857
, pp. 107-116
-
-
Masulli, F.1
Valentini, G.2
-
92
-
-
26444508281
-
Dependence among codeword bits errors in ECOC learning machines: An experimental analysis
-
Multiple Classifier Systems
-
F. Masulli and G. Valentini. Dependence among Codeword Bits Errors in ECOC Learning Machines: an Experimental Analysis. In Lecture Notes in Computer Science, volume 2096, pages 158-167. Springer-Verlag, Berlin, 2001. 5, 11 (Pubitemid 33303223)
-
(2001)
Lecture Notes in Computer Science
, Issue.2096
, pp. 158-167
-
-
Masulli, F.1
Valentini, G.2
-
93
-
-
0034877853
-
Quantitative evaluation of dependence among outputs in ECOC classifiers using mutual information based measures
-
F. Masulli and G. Valentini. Quantitative Evaluation of Dependence among Outputs in ECOC Classifiers Using Mutual Information Based Measures. In K. Marko and P.Webos, editors, Proceedings of the International Joint Conference on Neural Networks IJCNN'01, volume 2, pages 784-789, Piscataway, NJ, USA, 2001. IEEE. 11 (Pubitemid 32805264)
-
(2001)
Proceedings of the International Joint Conference on Neural Networks
, vol.2
, pp. 784-789
-
-
Masulli, F.1
Valentini, G.2
-
95
-
-
84957030794
-
Tuning cost-sensitive boosting and its application to melanoma diagnosis
-
Multiple Classifier Systems
-
S. Merler, C. Furlanello, B. Larcher, and A. Sboner. Tuning Cost-Sensitive Boosting and its Application to Melanoma Diagnosis. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. Second International Workshop, MCS 2001, Cambridge, UK, volume 2096 of Lecture Notes in Computer Science, pages 32-42. Springer-Verlag, 2001. (Pubitemid 33303211)
-
(2001)
Lecture Notes in Computer Science
, Issue.2096
, pp. 32-42
-
-
Merler, S.1
Furlanello, C.2
Larcher, B.3
Sboner, A.4
-
96
-
-
84957087567
-
Improved pairwise coupling classification with correcting classifiers
-
Machine Learning: ECML-98
-
M. Moreira and E. Mayoraz. Improved pairwise coupling classifiers with correcting classifiers. In C. Nedellec and C. Rouveirol, editors, Lecture Notes in Artificial Intelligence, Vol. 1398, pages 160-171, Berlin, Heidelberg, New York, 1998. 10 (Pubitemid 128067181)
-
(1998)
Lecture Notes in Computer Science
, Issue.1398
, pp. 160-171
-
-
Moreira, M.1
Mayoraz, E.2
-
97
-
-
0030356238
-
Actively Searching for an Effective Neural Network Ensemble
-
DOI 10.1080/095400996116802
-
D.W. Opitz and J.W. Shavlik. Actively searching for an effective neural network ensemble. Connection Science, 8(3/4):337-353, 1996. 11 (Pubitemid 126400569)
-
(1996)
Connection Science
, vol.8
, Issue.3-4
, pp. 337-353
-
-
Opitz, D.W.1
Shavlik, J.W.2
-
98
-
-
84944215019
-
Input Decimation Ensembles: Decorrelating through Dimensionality Reduction
-
Multiple Classifier Systems
-
N.C. Oza and K. Tumer. Input Decimation Ensembles: Decorrelation through Dimensionality Reduction. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. Second International Workshop, MCS 2001, Cambridge, UK, volume 2096 of Lecture Notes in Computer Science, pages 238-247. Springer-Verlag, 2001. 9 (Pubitemid 33303231)
-
(2001)
Lecture Notes in Computer Science
, Issue.2096
, pp. 238-247
-
-
Oza, N.C.1
Tumer, K.2
-
99
-
-
0030081877
-
Off-line recognition of large sets handwritten characters with multiple Hidden-Markov models
-
9
-
H. S. Park and S. W. Lee. Off-line recognition of large sets handwritten characters with multiple Hidden-Markov models. Pattern Recognition, 29(2):231-244, 1996. 9
-
(1996)
Pattern Recognition
, vol.29
, Issue.2
, pp. 231-244
-
-
Park, H.S.1
Lee, S.W.2
-
100
-
-
0001002401
-
Approximation and radial basis function networks
-
5
-
J. Park and I.W. Sandberg. Approximation and radial basis function networks. Neural Computation, 5(2):305-316, 1993. 5
-
(1993)
Neural Computation
, vol.5
, Issue.2
, pp. 305-316
-
-
Park, J.1
Sandberg, I.W.2
-
101
-
-
85156199954
-
Improving committe diagnosis with resampling techniques
-
D. S. Touretzky, M. Mozer, and M. Hesselmo, editors. MIT Press, Cambridge, MA, 8, 11
-
B. Parmanto, P. Munro, and H. Doyle. Improving committe diagnosis with resampling techniques. In D. S. Touretzky, M. Mozer, and M. Hesselmo, editors, Advances in Neural Information Processing Systems, volume 8, pages 882-888. MIT Press, Cambridge, MA, 1996. 8, 11
-
(1996)
Advances in Neural Information Processing Systems
, vol.8
, pp. 882-888
-
-
Parmanto, B.1
Munro, P.2
Doyle, H.3
-
102
-
-
0030352275
-
Reducing variance of committee predition with resampling techniques
-
8
-
B. Parmanto, P. Munro, and H. Doyle. Reducing variance of committee predition with resampling techniques. Connection Science, 8(3/4):405-416, 1996. 8
-
(1996)
Connection Science
, vol.8
, Issue.3-4
, pp. 405-416
-
-
Parmanto, B.1
Munro, P.2
Doyle, H.3
-
103
-
-
0030585190
-
Engineering multiversion neural-net systems
-
D. Partridge and W.B. Yates. Engineering multiversion neural-net systems. Neural Computation, 8:869-893, 1996. 11 (Pubitemid 126449950)
-
(1996)
Neural Computation
, vol.8
, Issue.4
, pp. 869-893
-
-
Partridge, D.1
Yates, W.B.2
-
104
-
-
0000926506
-
When networks disagree: Ensemble methods for hybrid neural networks
-
Mammone R. J., editor. Chapman & Hall, London, 6, 11
-
M. P. Perrone and L.N. Cooper. When networks disagree: ensemble methods for hybrid neural networks. In Mammone R. J., editor, Artificial Neural Networks for Speech and Vision, pages 126-142. Chapman & Hall, London, 1993. 6, 11
-
(1993)
Artificial Neural Networks for Speech and Vision
, pp. 126-142
-
-
Perrone, M.P.1
Cooper, L.N.2
-
105
-
-
0003525992
-
-
MIT Press, Cambridge, MA, 10, 11
-
W.W. Peterson and E. J.Jr. Weldon. Error correcting codes. MIT Press, Cambridge, MA, 1972. 10, 11
-
(1972)
Error Correcting Codes
-
-
Peterson, W.W.1
Weldon Jr., E.J.2
-
107
-
-
0030374103
-
Bootstrapping with noise: An effective regularization technique
-
8, 12
-
Y. Raviv and N. Intrator. Bootstrapping with noise: An effective regularization technique. Connection Science, 8(3/4):355-372, 1996. 8, 12
-
(1996)
Connection Science
, vol.8
, Issue.3-4
, pp. 355-372
-
-
Raviv, Y.1
Intrator, N.2
-
108
-
-
0027961797
-
Combining the results of several neural neetworks classifiers
-
7
-
G. Rogova. Combining the results of several neural neetworks classifiers. Neural Networks, 7:777-781, 1994. 7
-
(1994)
Neural Networks
, vol.7
, pp. 777-781
-
-
Rogova, G.1
-
109
-
-
84956994921
-
Methods for designing multiple classifier systems
-
Multiple Classifier Systems
-
F. Roli, G. Giacinto, and G. Vernazza. Methods for Designing Multiple Classifier Systems. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. Second International Workshop, MCS 2001, Cambridge, UK, volume 2096 of Lecture Notes in Computer Science, pages 78-87. Springer-Verlag, 2001. 11 (Pubitemid 33303215)
-
(2001)
Lecture Notes in Computer Science
, Issue.2096
, pp. 78-87
-
-
Roli, F.1
Giacinto, G.2
Vernazza, G.3
-
110
-
-
0033905095
-
BoosTexter: A boosting-based system for text categorization
-
R. Schapire and Y. Singer. Boostexter: A boosting-based system for text categorization. Machine Learning, 39(2/3):135-168, 2000. 8 (Pubitemid 30594821)
-
(2000)
Machine Learning
, vol.39
, Issue.2
, pp. 135-168
-
-
Schapire, R.E.1
Singer, Y.2
-
111
-
-
0025448521
-
The strenght of weak learnability
-
7, 8
-
R. E. Schapire. The strenght of weak learnability. Machine Learning, 5(2):197-227, 1990. 7, 8
-
(1990)
Machine Learning
, vol.5
, Issue.2
, pp. 197-227
-
-
Schapire, R.E.1
-
112
-
-
84880692052
-
A brief introduction to boosting
-
Thomas Dean, editor. Morgan Kauffman, 3, 8
-
R. E. Schapire. A brief introduction to boosting. In Thomas Dean, editor, 16th International Joint Conference on Artificial Intelligence, pages 1401-1406. Morgan Kauffman, 1999. 3, 8
-
(1999)
16th International Joint Conference on Artificial Intelligence
, pp. 1401-1406
-
-
Schapire, R.E.1
-
113
-
-
0032280519
-
Boosting the margin: A new explanation for the effectiveness of voting methods
-
R. E. Schapire, Y. Freund, P. Bartlett, and W. Lee. Boosting the margin: A new explanation for the effectiveness of voting methods. The Annals of Statistics, 26(5):1651-1686, 1998. 6, 8 (Pubitemid 128376902)
-
(1998)
Annals of Statistics
, vol.26
, Issue.5
, pp. 1651-1686
-
-
Schapire, R.E.1
Freund, Y.2
Bartlett, P.3
Lee, W.S.4
-
114
-
-
0033281701
-
Improved boosting algorithms using confidence-rated predictions
-
DOI 10.1023/A:1007614523901
-
R. E. Schapire and Y. Singer. Improved boosting algorithms using confidencerated predictions. Machine Learning, 37(3):297-336, 1999. 8 (Pubitemid 32210620)
-
(1999)
Machine Learning
, vol.37
, Issue.3
, pp. 297-336
-
-
Schapire, R.E.1
Singer, Y.2
-
117
-
-
84867074502
-
The test and select approach to ensemble combination
-
J. Kittler and F. Roli, editors, 1857 of Lecture Notes in Computer Science. Springer-Verlag. 11
-
A Sharkey, N. Sharkey, U. Gerecke, and G. Chandroth. The test and select approach to ensemble combination. In J. Kittler and F. Roli, editors, Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy, volume 1857 of Lecture Notes in Computer Science, pages 30-44. Springer-Verlag, 2000. 11
-
(2000)
Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy
, pp. 30-44
-
-
Sharkey, A.1
Sharkey, N.2
Gerecke, U.3
Chandroth, G.4
-
119
-
-
0036080160
-
Bagging, boosting and the randon subspace method for linear classifiers
-
(in press). 9
-
M. Skurichina and R. P.W. Duin. Bagging, boosting and the randon subspace method for linear classifiers. Pattern Analysis and Applications. (in press). 9
-
Pattern Analysis and Applications
-
-
Skurichina, M.1
Duin, R.P.W.2
-
120
-
-
0032121371
-
Bagging for linear classifiers
-
PII S0031320397001106
-
M. Skurichina and R. P.W. Duin. Bagging for linear classifiers. Pattern Recognition, 31(7):909-930, 1998. 8 (Pubitemid 128428102)
-
(1998)
Pattern Recognition
, vol.31
, Issue.7
, pp. 909-930
-
-
Skurichina, M.1
Duin, R.P.W.2
-
121
-
-
84957007471
-
Bagging and the random subspace method for redundant feature spaces
-
Multiple Classifier Systems
-
M. Skurichina and R. P.W. Duin. Bagging and the Random Subspace Method for Redundant Feature Spaces. In Multiple Classifier Systems. Second International Workshop, MCS 2001, Cambridge, UK, volume 2096 of Lecture Notes in Computer Science, pages 1-10. Springer-Verlag, 2001. 8 (Pubitemid 33303208)
-
(2001)
Lecture Notes in Computer Science
, Issue.2096
, pp. 1-10
-
-
Skurichina, M.1
Duin, R.P.W.2
-
122
-
-
84867045064
-
Multiple classifier combination methodologies for different output levels
-
1857 of Lecture Notes in Computer Science. Springer-Verlag. 7
-
C. Suen and L. Lam. Multiple classifier combination methodologies for different output levels. In Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy, volume 1857 of Lecture Notes in Computer Science, pages 52-66. Springer-Verlag, 2000. 7
-
(2000)
Multiple Classifier Systems. First International Workshop, MCS 2000, Cagliari, Italy
, pp. 52-66
-
-
Suen, C.1
Lam, L.2
-
123
-
-
0030365938
-
Error correlation and error reduction in ensemble classifiers
-
5
-
K. Tumer and J. Ghosh. Error correlation and error reduction in ensemble classifiers. Connection Science, 8(3/4):385-404, 1996. 5
-
(1996)
Connection Science
, vol.8
, Issue.3-4
, pp. 385-404
-
-
Tumer, K.1
Ghosh, J.2
-
125
-
-
0141646154
-
-
Technical Report TR-00-17, DISI - Dipartimento di Informatica e Scienze dell' Informazione - Università di Genova, 10
-
G. Valentini. Upper bounds on the training error of ECOC-SVM ensembles. Technical Report TR-00-17, DISI - Dipartimento di Informatica e Scienze dell' Informazione - Università di Genova, 2000. ftp://ftp.disi.unige.it/ person/ValentiniG/papers/TR-00-17.ps.gz. 10
-
(2000)
Upper Bounds on the Training Error of ECOC-SVM Ensembles
-
-
Valentini, G.1
-
126
-
-
0036851381
-
Gene expression data analysis of human lymphoma using Support Vector Machines and Output Coding ensembles
-
(to appear). 10
-
G. Valentini. Gene expression data analysis of human lymphoma using Support Vector Machines and Output Coding ensembles. Artificial Intelligence in Medicine (to appear). 10
-
Artificial Intelligence in Medicine
-
-
Valentini, G.1
-
127
-
-
1542430182
-
-
Spriger Verlag, Berlin, 10
-
J. Van Lint. Coding theory. Spriger Verlag, Berlin, 1971. 10
-
(1971)
Coding Theory
-
-
Van Lint, J.1
-
128
-
-
0032137270
-
Use of fuzzy-logic-inspired features to improve bacterial recognition through classifier fusion
-
PII S1083441998049887
-
D. Wang, J.M. Keller, C.A. Carson, K.K. McAdoo-Edwards, and C.W. Bailey. Use of fuzzy logic inspired features to improve bacterial recognition through classifier fusion. IEEE Transactions on Systems, Man and Cybernetics, 28B(4):583-591, 1998. 7 (Pubitemid 128748022)
-
(1998)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
, vol.28
, Issue.4
, pp. 583-591
-
-
Wang, D.1
Keller, J.M.2
Andrew Carson, C.3
McAdoo-Edwards, K.K.4
Bailey, C.W.5
-
129
-
-
0031121318
-
Combination of multiple classifiers using local accuracy estimates
-
K.Woods, W. P.Kegelmeyer, and K. Bowyer. Combination of multiple classifiers using local accuracy estimates. IEEE Trans. on Pattern Analysis and Machine Intelligence, 19(4):405-410, 1997. 3, 11 (Pubitemid 127762896)
-
(1997)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.19
, Issue.4
, pp. 405-410
-
-
Woods, K.1
Philip Kegelmeyer, W.2
Bowyer, K.3
-
130
-
-
0026860706
-
Methods of combining multiple classifiers and their applications to handwritting recognition
-
3, 7, 9
-
L Xu, C Krzyzak, and C. Suen. Methods of combining multiple classifiers and their applications to handwritting recognition. IEEE Transactions on Systems, Man and Cybernetics, 22(3):418-435, 1992. 3, 7, 9
-
(1992)
IEEE Transactions on Systems, Man and Cybernetics
, vol.22
, Issue.3
, pp. 418-435
-
-
Xu, L.1
Krzyzak, C.2
Suen, C.3
|