-
1
-
-
3042597440
-
Learning multi-label scene classification
-
Boutell, M.R., Luo, J., Shen, X., Brown, C.M.: Learning multi-label scene classification. Pattern Recognition 37(9), 1757-1771 (2004)
-
(2004)
Pattern Recognition
, vol.37
, Issue.9
, pp. 1757-1771
-
-
Boutell, M.R.1
Luo, J.2
Shen, X.3
Brown, C.M.4
-
3
-
-
37349077709
-
Multilabel text categorization based on a new linear classifier learning method and a category-sensitive refinement method
-
Chang, Y.C., Chen, S.M., Liau, C.J.: Multilabel text categorization based on a new linear classifier learning method and a category-sensitive refinement method. Expert Systems with Applications 34(3), 1948-1953 (2008)
-
(2008)
Expert Systems with Applications
, vol.34
, Issue.3
, pp. 1948-1953
-
-
Chang, Y.C.1
Chen, S.M.2
Liau, C.J.3
-
4
-
-
56349123243
-
Calibrated rank-svm for multi-label image categorization
-
IEEE World Congress on Computational Intelligence, pp
-
Jiang, A., Wang, C., Zhu, Y.: Calibrated rank-svm for multi-label image categorization. In: IEEE International Joint Conference on Neural Networks, 2008. IJCNN 2008 (IEEE World Congress on Computational Intelligence), pp. 1450-1455 (2008)
-
(2008)
IEEE International Joint Conference on Neural Networks, 2008. IJCNN
, pp. 1450-1455
-
-
Jiang, A.1
Wang, C.2
Zhu, Y.3
-
6
-
-
77957933126
-
Gene function prediction using protein domain probability and hierarchical gene ontology information
-
ICPR, 2008
-
Jung, J., Thon, M.R.: Gene function prediction using protein domain probability and hierarchical gene ontology information. In: 19th International Conference on Pattern Recognition, 2008. ICPR 2008, pp. 1-4 (2008)
-
(2008)
19th International Conference on Pattern Recognition
, pp. 1-4
-
-
Jung, J.1
Thon, M.R.2
-
7
-
-
46149105706
-
Induction from multi-label examples in information retrieval systems: A case study
-
Sarinnapakorn, K., Kubat, M.: Induction from multi-label examples in information retrieval systems: A case study. Applied Artificial Intelligence 22(5), 407-432 (2008)
-
(2008)
Applied Artificial Intelligence
, vol.22
, Issue.5
, pp. 407-432
-
-
Sarinnapakorn, K.1
Kubat, M.2
-
9
-
-
38049123909
-
-
Tsoumakas, G., Vlahavas, I.: Random k-labelsets: An ensemble method for multilabel classification. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds.) ECML 2007. LNCS (LNAI), 4701, pp. 406-417. Springer, Heidelberg (2007)
-
Tsoumakas, G., Vlahavas, I.: Random k-labelsets: An ensemble method for multilabel classification. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds.) ECML 2007. LNCS (LNAI), vol. 4701, pp. 406-417. Springer, Heidelberg (2007)
-
-
-
-
10
-
-
84943242305
-
-
Clare, A., King, R.D.: Knowledge discovery in multi-label phenotype data. In: Siebes, A., De Raedt, L. (eds.) PKDD 2001. LNCS (LNAI), 2168, p. 42. Springer, Heidelberg (2001)
-
Clare, A., King, R.D.: Knowledge discovery in multi-label phenotype data. In: Siebes, A., De Raedt, L. (eds.) PKDD 2001. LNCS (LNAI), vol. 2168, p. 42. Springer, Heidelberg (2001)
-
-
-
-
11
-
-
33750260525
-
A k-nearest neighbor based algorithm for multi-label classification
-
Zhang, M.L., Zhou, Z.H.: A k-nearest neighbor based algorithm for multi-label classification. In: The IEEE Computational Intelligence Society, vol. 2, pp. 718-721 (2005)
-
(2005)
The IEEE Computational Intelligence Society
, vol.2
, pp. 718-721
-
-
Zhang, M.L.1
Zhou, Z.H.2
-
12
-
-
4544369306
-
An unbiased method for constructing multilabel classification trees
-
Noh, H.G., Song, M.S., Park, S.H.: An unbiased method for constructing multilabel classification trees. Computational Statistics & Data Analysis 47(1), 149-164 (2004)
-
(2004)
Computational Statistics & Data Analysis
, vol.47
, Issue.1
, pp. 149-164
-
-
Noh, H.G.1
Song, M.S.2
Park, S.H.3
-
14
-
-
33748366796
-
Multilabel neural networks with applications to functional genomics and text categorization
-
Zhang, M.L., Zhou, X.H.: Multilabel neural networks with applications to functional genomics and text categorization. IEEE Transactions on Knowledge and Data Engineering 18(10), 1338-1351 (2006)
-
(2006)
IEEE Transactions on Knowledge and Data Engineering
, vol.18
, Issue.10
, pp. 1338-1351
-
-
Zhang, M.L.1
Zhou, X.H.2
-
15
-
-
36049012235
-
A tree-projection-based algorithm for multilabel recurrent-item associative-classification rule generation
-
Rak, R., Kurgan, L., Reformat, M.: A tree-projection-based algorithm for multilabel recurrent-item associative-classification rule generation. Data & Knowledge Engineering 64(1), 171-197 (2008)
-
(2008)
Data & Knowledge Engineering
, vol.64
, Issue.1
, pp. 171-197
-
-
Rak, R.1
Kurgan, L.2
Reformat, M.3
-
16
-
-
0033905095
-
Boostexter: A boosting-based system for text categorization
-
Schapire, R.E., Singer, Y.: Boostexter: A boosting-based system for text categorization. Machine Learning 39(2/3), 135-168 (2000)
-
(2000)
Machine Learning
, vol.39
, Issue.2-3
, pp. 135-168
-
-
Schapire, R.E.1
Singer, Y.2
-
17
-
-
84868175659
-
-
Vens, C, Struyf, J, Schietgat, L, Džeroski, S, Blockeel, H, Decision trees for hierarchical multi-label classification. Machine Learning
-
Vens, C., Struyf, J., Schietgat, L., Džeroski, S., Blockeel, H.: Decision trees for hierarchical multi-label classification. Machine Learning
-
-
-
-
18
-
-
57349170845
-
A new approach for multi-label classification based on default hierarchies and organizational learning
-
Vallim, R.M.M., Goldberg, D.E., Llorà, X., Duque, T.S.P.C., Carvalho, A.C.P.L.F.: A new approach for multi-label classification based on default hierarchies and organizational learning. In: GECCO 2008: Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation, pp. 2017-2022 (2008)
-
(2008)
GECCO 2008: Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation
, pp. 2017-2022
-
-
Vallim, R.M.M.1
Goldberg, D.E.2
Llorà, X.3
Duque, T.S.P.C.4
Carvalho, A.C.P.L.F.5
-
19
-
-
0347499408
-
Gene expression programming:a new adaptative algorithm for solving problems
-
Ferreira, C.: Gene expression programming:a new adaptative algorithm for solving problems. Complex Systems 13(2), 87-129 (2001)
-
(2001)
Complex Systems
, vol.13
, Issue.2
, pp. 87-129
-
-
Ferreira, C.1
-
20
-
-
0346503002
-
Evolving accurate and compact classification rules with gene expression programming
-
Zhou, C., Xiao, W., Tirpak, T.M., Nelson, P.C.: Evolving accurate and compact classification rules with gene expression programming. IEEE Transactions on Evolutionary Computation 7(6), 519-531 (2003)
-
(2003)
IEEE Transactions on Evolutionary Computation
, vol.7
, Issue.6
, pp. 519-531
-
-
Zhou, C.1
Xiao, W.2
Tirpak, T.M.3
Nelson, P.C.4
-
22
-
-
0003970654
-
Data Mining Using Grammar-Based Genetic Programming and Applications
-
Kluwer Academic Publishers, Dordrecht
-
Wong, M.L., Leung, K.S.: Data Mining Using Grammar-Based Genetic Programming and Applications. Genetic Programming Series. Kluwer Academic Publishers, Dordrecht (2002)
-
(2002)
Genetic Programming Series
-
-
Wong, M.L.1
Leung, K.S.2
-
23
-
-
0346503002
-
Evolving accurate and compact classification rules with gene expression programming
-
Zhou, C., Xiao, W., Tirpak, T.M., Nelson, P.C.: Evolving accurate and compact classification rules with gene expression programming. IEEE Trans. Evolutionary Computation 7(6), 519-531 (2003)
-
(2003)
IEEE Trans. Evolutionary Computation
, vol.7
, Issue.6
, pp. 519-531
-
-
Zhou, C.1
Xiao, W.2
Tirpak, T.M.3
Nelson, P.C.4
-
24
-
-
0002442796
-
Machine learning in automated text categorization
-
Sebastiani, F.: Machine learning in automated text categorization. ACM Comput. Surv. 34(1), 1-47 (2002)
-
(2002)
ACM Comput. Surv
, vol.34
, Issue.1
, pp. 1-47
-
-
Sebastiani, F.1
-
25
-
-
35748982409
-
-
Ventura, S., Romero, C., Zafra, A., Delgado, J.A., Hervás, C.: JCLEC: A Java framework for evolutionary computation. Soft Computing 12(4), 381-392 (2008)
-
Ventura, S., Romero, C., Zafra, A., Delgado, J.A., Hervás, C.: JCLEC: A Java framework for evolutionary computation. Soft Computing 12(4), 381-392 (2008)
-
-
-
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