-
1
-
-
22444454855
-
Cascading classifiers
-
Alpaydin E., Kaynak C. Cascading classifiers. Kybernetika. 34(4):1998;369-374.
-
(1998)
Kybernetika
, vol.34
, Issue.4
, pp. 369-374
-
-
Alpaydin, E.1
Kaynak, C.2
-
2
-
-
0002819039
-
Uncertain data aggregation in classification and tracking processes
-
B. Bouchon-Meunier. Heidelberg: Physica-Verlag
-
Appriou A. Uncertain data aggregation in classification and tracking processes. Bouchon-Meunier B. Aggregation and Fusion of Imperfect Information. 1998;231-260 Physica-Verlag, Heidelberg.
-
(1998)
Aggregation and Fusion of Imperfect Information
, pp. 231-260
-
-
Appriou, A.1
-
3
-
-
0030211964
-
Bagging predictors
-
Breiman L. Bagging predictors. Machine Learning. 24:1996;123-140.
-
(1996)
Machine Learning
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
4
-
-
0029307876
-
A k -nearest neighbor classification rule based on Dempster-Shafer theory
-
Denœux T. A. k -nearest neighbor classification rule based on Dempster-Shafer theory IEEE Transactions on Systems, Man and Cybernetics. 25(05):1995;804-813.
-
(1995)
IEEE Transactions on Systems, Man and Cybernetics
, vol.25
, Issue.5
, pp. 804-813
-
-
Denœux, T.1
-
5
-
-
0031189743
-
Analysis of evidence-theoretic decision rules for pattern classification
-
Denœux T. Analysis of evidence-theoretic decision rules for pattern classification. Pattern Recognition. 30(7):1997;1095-1107.
-
(1997)
Pattern Recognition
, vol.30
, Issue.7
, pp. 1095-1107
-
-
Denœux, T.1
-
7
-
-
0001449934
-
Modeling vague beliefs using fuzzy-valued belief structures
-
Denœux T. Modeling vague beliefs using fuzzy-valued belief structures. Fuzzy Sets and Systems. 116(2):2000;167-199.
-
(2000)
Fuzzy Sets and Systems
, vol.116
, Issue.2
, pp. 167-199
-
-
Denœux, T.1
-
8
-
-
0033902309
-
A neural network classifier based on Dempster-Shafer theory
-
Denœux T. A neural network classifier based on Dempster-Shafer theory. IEEE Transactions on Systems, Man and Cybernetics A. 30(2):2000;131-150.
-
(2000)
IEEE Transactions on Systems, Man and Cybernetics A
, vol.30
, Issue.2
, pp. 131-150
-
-
Denœux, T.1
-
9
-
-
0034250160
-
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting and randomization
-
Dietterich T.G. An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting and randomization. Machine Learning. 40(2):2000;1-19.
-
(2000)
Machine Learning
, vol.40
, Issue.2
, pp. 1-19
-
-
Dietterich, T.G.1
-
12
-
-
0002450033
-
Presentation and description of two classification methods using data fusion based on sensor management
-
Fabre S., Appriou A., Briottet X. Presentation and description of two classification methods using data fusion based on sensor management. Information Fusion. 2(1):2001;49-71.
-
(2001)
Information Fusion
, vol.2
, Issue.1
, pp. 49-71
-
-
Fabre, S.1
Appriou, A.2
Briottet, X.3
-
13
-
-
85012722936
-
Combining the classification results of independent classifiers based on the Dempster-Shafer theory of evidence
-
E.S. Gelsema, & L.N. Kanal. Amsterdam: North-Holland
-
Mandler E., Schürmann J. Combining the classification results of independent classifiers based on the Dempster-Shafer theory of evidence. Gelsema E.S., Kanal L.N. Pattern Recognition and Artificial Intelligence. 1988;381-393 North-Holland, Amsterdam.
-
(1988)
Pattern Recognition and Artificial Intelligence
, pp. 381-393
-
-
Mandler, E.1
Schürmann, J.2
-
14
-
-
0003408496
-
-
Department of Information and Computer Science, University of California, Irvine, CA
-
P.M. Murphy, D.W. Aha, UCI repository of machine learning databases [machine-readable data repository], Department of Information and Computer Science, University of California, Irvine, CA, 1994.
-
(1994)
UCI Repository of Machine Learning Databases [Machine-Readable Data Repository]
-
-
Murphy, P.M.1
Aha, D.W.2
-
15
-
-
0035082231
-
Some classification algorithms integrating Dempster-Shafer theory of evidence with the rank nearest neighbor rules
-
Pal N.R., Ghosh S. Some classification algorithms integrating Dempster-Shafer theory of evidence with the rank nearest neighbor rules. IEEE Transactions on Systems, Man and Cybernetics A. 31(1):2001;59-66.
-
(2001)
IEEE Transactions on Systems, Man and Cybernetics A
, vol.31
, Issue.1
, pp. 59-66
-
-
Pal, N.R.1
Ghosh, S.2
-
16
-
-
0027961797
-
Combining the results of several neural network classifiers
-
Rogova G. Combining the results of several neural network classifiers. Neural Networks. 7(5):1994;777-781.
-
(1994)
Neural Networks
, vol.7
, Issue.5
, pp. 777-781
-
-
Rogova, G.1
-
18
-
-
0001099898
-
Perspectives in the theory and practice of belief functions
-
Shafer G. Perspectives in the theory and practice of belief functions. International Journal of Approximate Reasoning. 4:1990;323-362.
-
(1990)
International Journal of Approximate Reasoning
, vol.4
, pp. 323-362
-
-
Shafer, G.1
-
21
-
-
0002792194
-
What is Dempster-Shafer's model?
-
R.R. Yager, M. Fedrizzi, & J. Kacprzyk. New York: Wiley
-
Smets P. What is Dempster-Shafer's model? Yager R.R., Fedrizzi M., Kacprzyk J. Advances in the Dempster-Shafer theory of evidence. 1994;5-34 Wiley, New York.
-
(1994)
Advances in the Dempster-Shafer theory of Evidence
, pp. 5-34
-
-
Smets, P.1
-
22
-
-
0031999096
-
The application of the transferable belief model to diagnosis problems
-
Smets P. The application of the transferable belief model to diagnosis problems. International Journal of Intelligent Systems. 13:1998;127-158.
-
(1998)
International Journal of Intelligent Systems
, vol.13
, pp. 127-158
-
-
Smets, P.1
-
23
-
-
0001099497
-
The transferable belief model for quantified belief representation
-
D.M. Gabbay, & P. Smets. Dordrecht: Kluwer Academic Publishers
-
Smets P. The transferable belief model for quantified belief representation. Gabbay D.M., Smets P. Handbook of Defeasible Reasoning and Uncertainty Management Systems. vol. 1:1998;267-301 Kluwer Academic Publishers, Dordrecht.
-
(1998)
Handbook of Defeasible Reasoning and Uncertainty Management Systems
, vol.1
, pp. 267-301
-
-
Smets, P.1
-
24
-
-
0001124012
-
Practical uses of belief functions
-
Stockholm, Sweden, August
-
P. Smets, Practical uses of belief functions, in: Proceedings of UAI'99, Stockholm, Sweden, August 1999.
-
(1999)
Proceedings of UAI'99
-
-
Smets, P.1
-
26
-
-
0026860706
-
Methods of combining multiple classifiers and their applications to handwriting recognition
-
Xu L., Krzyzak A., Suen C.Y. Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Transactions on Systems, Man and Cybernetics. 22(3):1992;418-435.
-
(1992)
IEEE Transactions on Systems, Man and Cybernetics
, vol.22
, Issue.3
, pp. 418-435
-
-
Xu, L.1
Krzyzak, A.2
Suen, C.Y.3
-
27
-
-
49349133217
-
Fuzzy sets as a basis for a theory of possibility
-
Zadeh L.A. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems. 1:1978;3-28.
-
(1978)
Fuzzy Sets and Systems
, vol.1
, pp. 3-28
-
-
Zadeh, L.A.1
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