-
1
-
-
4344710606
-
A new technique for combining multiple classifiers using the Dempster-Shafer theory of evidence
-
Al-Ani, A. and M. Deriche. 2002. A new technique for combining multiple classifiers using the Dempster-Shafer theory of evidence. Journal of Artificial Intelligence Research 17:333-361.
-
(2002)
Journal of Artificial Intelligence Research
, vol.17
, pp. 333-361
-
-
Al-Ani, A.1
Deriche, M.2
-
2
-
-
0031274825
-
Data mining with decision trees and decision rules
-
Apte, C. and S. Weiss. 1997. Data mining with decision trees and decision rules. Future Generation Computer Systems 13:197-210.
-
(1997)
Future Generation Computer Systems
, vol.13
, pp. 197-210
-
-
Apte, C.1
Weiss, S.2
-
4
-
-
22044453925
-
The combination of text classifiers using reliability indicators
-
Bennett, P. N., S. T. Dumais, and E. Horvitz. 2005. The combination of text classifiers using reliability indicators. Information Retrieval 8:67-100.
-
(2005)
Information Retrieval
, vol.8
, pp. 67-100
-
-
Bennett, P.N.1
Dumais, S.T.2
Horvitz, E.3
-
5
-
-
9444249989
-
Combining multiple classifiers using Dempster's rule of combination for text categorization
-
Catalonia, Spain
-
Bi, Y., D. Bell, H. Wang, G. Guo, and K. Greer. 2004. Combining multiple classifiers using Dempster's rule of combination for text categorization. In: Proc. Int'l Conf. Modeling Decisions for Artificial Intelligence, pp. 127-138, Catalonia, Spain.
-
(2004)
Proc. Int'l Conf. Modeling Decisions for Artificial Intelligence
, pp. 127-138
-
-
Bi, Y.1
Bell, D.2
Wang, H.3
Guo, G.4
Greer, K.5
-
6
-
-
33845864696
-
Improving classification decisions by multiple knowledge
-
Hong Kong, China
-
Bi, Y., S. McClean, and T. Anderson. 2005. Improving classification decisions by multiple knowledge. In: Proc. IEEE Int'l Conf. on Tools with Artificial Intelligence (ICTAI'05), pp. 340-347, Hong Kong, China.
-
(2005)
Proc. IEEE Int'l Conf. on Tools with Artificial Intelligence (ICTAI'05)
, pp. 340-347
-
-
Bi, Y.1
McClean, S.2
Anderson, T.3
-
8
-
-
0030211964
-
Bagging predictors
-
Breiman, L. 1996. Bagging predictors. Machine Learning 24:123-140.
-
(1996)
Machine Learning
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
10
-
-
9744275315
-
A multi-label Chinese text categorization system based on boosting algorithm
-
Wuhan, China
-
Chen, J., X. Zhou, and Z. Wu. 2004. A multi-label Chinese text categorization system based on boosting algorithm. In: Proc. IEEE Int'l Conf. on Computer and Information Technology (CIT'04) 1153-1158, Wuhan, China.
-
(2004)
Proc. IEEE Int'l Conf. on Computer and Information Technology (CIT'04)
, pp. 1153-1158
-
-
Chen, J.1
Zhou, X.2
Wu, Z.3
-
12
-
-
46149090721
-
-
De Comité, F., R. Gilleron, and M. Tommasi. 2001. Learning multi-label alternating decision trees and applications. In: Proc. Conf. en Apprentissage Automatique (CAP'01), 195-210.
-
De Comité, F., R. Gilleron, and M. Tommasi. 2001. Learning multi-label alternating decision trees and applications. In: Proc. Conf. en Apprentissage Automatique (CAP'01), 195-210.
-
-
-
-
13
-
-
8344282787
-
-
De Comité, F., R. Gilleron, and M. Tommasi. 2003. Learning multi-label alternating decision trees from texts and data. In: Proc. Int'l Conf. on Machine Learning and Data Mining (MLDM'03), 35-49, Leipzig, Germany.
-
De Comité, F., R. Gilleron, and M. Tommasi. 2003. Learning multi-label alternating decision trees from texts and data. In: Proc. Int'l Conf. on Machine Learning and Data Mining (MLDM'03), 35-49, Leipzig, Germany.
-
-
-
-
14
-
-
0036945966
-
Boosting simple decision trees with Bayesian learning for text categorization
-
Shanghai, PR China
-
Diao, L., K. Hu, Y. Lu, and C. Shi. 2002. Boosting simple decision trees with Bayesian learning for text categorization. In: Proc. World Congress on Intelligent Control and Automation Shanghai, PR China, 321-325.
-
(2002)
Proc. World Congress on Intelligent Control and Automation
, pp. 321-325
-
-
Diao, L.1
Hu, K.2
Lu, Y.3
Shi, C.4
-
15
-
-
24644484198
-
On the naive Bayes model for text categorization
-
Key West, Florida, USA
-
Eyheramendy, S., D. D. Lewis, and D. Madigan. 2003. On the naive Bayes model for text categorization. In: Proc. Int'l Workshop on Artificial Intelligence and Statistics, Key West, Florida, USA.
-
(2003)
Proc. Int'l Workshop on Artificial Intelligence and Statistics
-
-
Eyheramendy, S.1
Lewis, D.D.2
Madigan, D.3
-
16
-
-
58149321460
-
Boosting a weak learning algorithm by majority
-
Freund, Y. 1995. Boosting a weak learning algorithm by majority. Information and Computation 121: 256-285.
-
(1995)
Information and Computation
, vol.121
, pp. 256-285
-
-
Freund, Y.1
-
17
-
-
0006452367
-
The alternating decision tree learning algorithm
-
San Francisco, CA: Morgan Kaufmann
-
Freund, Y. and L. Mason. 1999. The alternating decision tree learning algorithm. In: Proc. Int'l Conf. on Machine Learning (ICML'99), 124-133. San Francisco, CA: Morgan Kaufmann.
-
(1999)
Proc. Int'l Conf. on Machine Learning (ICML'99)
, pp. 124-133
-
-
Freund, Y.1
Mason, L.2
-
19
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Freund, Y. and R. E. Schapire. 1997. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55:119-139.
-
(1997)
Journal of Computer and System Sciences
, vol.55
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
21
-
-
0036895475
-
Hyperlink ensembles: A case study in hypertext classification
-
Fürnkranz, J. 2002. Hyperlink ensembles: A case study in hypertext classification. Information Fusion 3:299-312.
-
(2002)
Information Fusion
, vol.3
, pp. 299-312
-
-
Fürnkranz, J.1
-
22
-
-
14344255188
-
A MFoM learning approach to robust multiclass multi-label text categorization
-
Alberta, Canada
-
Gao, S., W. Wu, C.-H. Lee, and T.-S. Chua. 2004. A MFoM learning approach to robust multiclass multi-label text categorization. In: Proc. Int'l Conf. on Machine Learning (ICML'04), 329-336, Alberta, Canada.
-
(2004)
Proc. Int'l Conf. on Machine Learning (ICML'04)
, pp. 329-336
-
-
Gao, S.1
Wu, W.2
Lee, C.-H.3
Chua, T.-S.4
-
24
-
-
58049148928
-
Multiclass alternating decision trees
-
Helsinki, Finland: Springer-Verlag
-
Holmes, G., B. Pfahringer, R. Kirkby, E. Frank, and M. Hall. 2002. Multiclass alternating decision trees. In: Proc. European Conf. on Machine Learning (ECML'02). Helsinki, Finland: Springer-Verlag.
-
(2002)
Proc. European Conf. on Machine Learning (ECML'02)
-
-
Holmes, G.1
Pfahringer, B.2
Kirkby, R.3
Frank, E.4
Hall, M.5
-
25
-
-
84957069814
-
Text categorization with support vector machines: Learning with many relevant features
-
eds. C. Nédellec and C. Rouveirol, Chemnitz, DE, Heidelberg, DE: Springer Verlag
-
Joachims, T. 1998. Text categorization with support vector machines: learning with many relevant features. In: Proc. European Conf. on Machine Learning (ECML'98), eds. C. Nédellec and C. Rouveirol 137-142. Number 1398, Chemnitz, DE, Heidelberg, DE: Springer Verlag.
-
(1998)
Proc. European Conf. on Machine Learning (ECML'98)
, Issue.1398
, pp. 137-142
-
-
Joachims, T.1
-
26
-
-
46149086948
-
A reduction technique for nearest-neighbor classification: Small groups of examples
-
Kubat, M. and J. M. Cooperson. 2001. A reduction technique for nearest-neighbor classification: Small groups of examples. Intelligent Data Analysis 5:463-476.
-
(2001)
Intelligent Data Analysis
, vol.5
, pp. 463-476
-
-
Kubat, M.1
Cooperson, J.M.2
-
28
-
-
0026992322
-
An analysis of Bayesian classifiers
-
San Jose, California, USA
-
Langley, P., W. Iba, and K. Thompson. 1992. An analysis of Bayesian classifiers. In: Natl. Conf. on Artificial Intelligence, 223-228, San Jose, California, USA.
-
(1992)
Natl. Conf. on Artificial Intelligence
, pp. 223-228
-
-
Langley, P.1
Iba, W.2
Thompson, K.3
-
29
-
-
0030405371
-
Training algorithms for linear text classifiers
-
New York, NY: ACM Press
-
Lewis, D. D., R. E. Schapire, J. P. Callan, and R. Papka. 1996. Training algorithms for linear text classifiers. In: Proc. ACM SIGIR Conf. Research and Development in Information Retrieval, 298-306. New York, NY: ACM Press.
-
(1996)
Proc. ACM SIGIR Conf. Research and Development in Information Retrieval
, pp. 298-306
-
-
Lewis, D.D.1
Schapire, R.E.2
Callan, J.P.3
Papka, R.4
-
30
-
-
12744267752
-
An adaptive k-nearest neighbor text categorization strategy
-
New York, New York, USA
-
Li, B., Q. Lu, and S. Yu. 2004. An adaptive k-nearest neighbor text categorization strategy. ACM Trans. on Asian Language Information Processing (TALIP) 3:215-226, New York, New York, USA.
-
(2004)
ACM Trans. on Asian Language Information Processing (TALIP)
, vol.3
, pp. 215-226
-
-
Li, B.1
Lu, Q.2
Yu, S.3
-
32
-
-
84947791171
-
Multiple classifier combination for character recognition: Revisiting the majority voting system and its variations
-
Rahman, A. F. R., H. Alam, and M. C. Fairhurst. 2002. Multiple classifier combination for character recognition: Revisiting the majority voting system and its variations. Lecture Notes in Computer Science 2423.
-
(2002)
Lecture Notes in Computer Science
, pp. 2423
-
-
Rahman, A.F.R.1
Alam, H.2
Fairhurst, M.C.3
-
35
-
-
0242659655
-
Hierarchical text categorization using neural networks
-
Ruiz, M. E. and P. Srinivasan. 2002. Hierarchical text categorization using neural networks. Information Retrieval 5:87-118.
-
(2002)
Information Retrieval
, vol.5
, pp. 87-118
-
-
Ruiz, M.E.1
Srinivasan, P.2
-
37
-
-
0025448521
-
The strength of weak learnability
-
Schapire, R. E. 1990. The strength of weak learnability. Machine Learning 5:197-227.
-
(1990)
Machine Learning
, vol.5
, pp. 197-227
-
-
Schapire, R.E.1
-
38
-
-
0033281701
-
Improved boosting using confidence-rated predictions
-
Schapire, R. E. and Y. Singer. 1999. Improved boosting using confidence-rated predictions. Machine Learning 37:297-336.
-
(1999)
Machine Learning
, vol.37
, pp. 297-336
-
-
Schapire, R.E.1
Singer, Y.2
-
39
-
-
0033905095
-
BoosTexter: A boosting-based system for text categorization
-
Schapire, R. E. and Y. Singer. 2000. BoosTexter: A boosting-based system for text categorization. Machine Learning 39:135-168.
-
(2000)
Machine Learning
, vol.39
, pp. 135-168
-
-
Schapire, R.E.1
Singer, Y.2
-
41
-
-
0036394159
-
How weak categorizers based upon different principles strengthen performance
-
Uren, V. S. and T. R. Addis. 2002. How weak categorizers based upon different principles strengthen performance. The Computer Journal 45:511-524.
-
(2002)
The Computer Journal
, vol.45
, pp. 511-524
-
-
Uren, V.S.1
Addis, T.R.2
-
44
-
-
0033366097
-
Maximizing text-mining performance
-
Weiss, S. M., C. Apt, F. J. Damerau, D. E. Johnson, F. J. Oles, T. Goetz, and T. Hampp. 1999. Maximizing text-mining performance. IEEE Intelligent Systems 14:63-69.
-
(1999)
IEEE Intelligent Systems
, vol.14
, pp. 63-69
-
-
Weiss, S.M.1
Apt, C.2
Damerau, F.J.3
Johnson, D.E.4
Oles, F.J.5
Goetz, T.6
Hampp, T.7
-
45
-
-
0001700195
-
A neural network approach to topic spotting
-
Las Vegas, NV
-
Wiener, E. D., J. O. Pedersen, and A. S. Weigend. 1995. A neural network approach to topic spotting. In: Proc. Annual Symp. on Document Analysis and Information Retrieval (SDAIR'95), Las Vegas, NV, 317-332.
-
(1995)
Proc. Annual Symp. on Document Analysis and Information Retrieval (SDAIR'95)
, pp. 317-332
-
-
Wiener, E.D.1
Pedersen, J.O.2
Weigend, A.S.3
-
46
-
-
27144441097
-
An evaluation of statistical approaches to text categorization
-
Yang, Y. 1999. An evaluation of statistical approaches to text categorization. Information Retrieval 1:69-90.
-
(1999)
Information Retrieval
, vol.1
, pp. 69-90
-
-
Yang, Y.1
-
47
-
-
0028461554
-
An example-based mapping method for text categorization and retrieval
-
Yang, Y. and C. G. Chute. 1994. An example-based mapping method for text categorization and retrieval. ACM Trans. on Information Systems (TOIS) 12:252-277.
-
(1994)
ACM Trans. on Information Systems (TOIS)
, vol.12
, pp. 252-277
-
-
Yang, Y.1
Chute, C.G.2
-
48
-
-
33750260525
-
A k-nearest neighbor based algorithm for multi-label classification
-
Beijing, China
-
Zhang, M.-L. and Z.-H. Zhou. 2005. A k-nearest neighbor based algorithm for multi-label classification. In: The 1st IEEE Int'l Conf. on Granular Computing (GrC'05), Volume 2, Beijing, China, 718-721.
-
(2005)
The 1st IEEE Int'l Conf. on Granular Computing (GrC'05)
, vol.2
, pp. 718-721
-
-
Zhang, M.-L.1
Zhou, Z.-H.2
-
49
-
-
33748366796
-
Multilabel neural networks with application to functional genomics and text categorization
-
Zhang, M.-L. and Z.-H. Zhou. 2006. Multilabel neural networks with application to functional genomics and text categorization. IEEE Trans. on Knowledge and Data Engineering, 1338-1351.
-
(2006)
IEEE Trans. on Knowledge and Data Engineering
, pp. 1338-1351
-
-
Zhang, M.-L.1
Zhou, Z.-H.2
-
50
-
-
84885572482
-
Multi-labelled classification using maximum entropy method
-
Zhu, S., X. Ji, W. Xu, and Y. Gong. 2005. Multi-labelled classification using maximum entropy method. In: Proc. ACM SIGIR Conf. Research and Development in Information Retrieval, 274-281.
-
(2005)
Proc. ACM SIGIR Conf. Research and Development in Information Retrieval
, pp. 274-281
-
-
Zhu, S.1
Ji, X.2
Xu, W.3
Gong, Y.4
|