-
1
-
-
3042597440
-
Learning multi-label scene classification
-
M. R. Boutell, J. Luo, X. Shen, and C. M. Brown. 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
-
2
-
-
80052884721
-
Multi-label learning with incomplete class assignments
-
Colorado Springs, CO
-
S. S. Bucak, R. Jin, and A. K. Jain. Multi-label learning with incomplete class assignments. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 2801-2808, Colorado Springs, CO, 2011.
-
(2011)
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
, pp. 2801-2808
-
-
Bucak, S. S.1
Jin, R.2
Jain, A. K.3
-
4
-
-
34250747451
-
Hierarchical classification: Combining bayes with SVM
-
Pittsburgh, PA
-
N. Cesa-Bianchi, C. Gentile, and L. Zaniboni. Hierarchical classification: Combining bayes with SVM. In Proceedings of the 23rd International Conference on Machine Learning, pages 177-184, Pittsburgh, PA, 2006.
-
(2006)
Proceedings of the 23rd International Conference on Machine Learning
, pp. 177-184
-
-
Cesa-Bianchi, N.1
Gentile, C.2
Zaniboni, L.3
-
6
-
-
77956522919
-
Bayes optimal multilabel classification via probabilistic classifier chains
-
Haifa, Israel
-
K. Dembczynski, W. Cheng, and E. Hüllermeier. Bayes optimal multilabel classification via probabilistic classifier chains. In Proceedings of the 27th International Conference on Machine Learning, pages 279-286, Haifa, Israel, 2010.
-
(2010)
Proceedings of the 27th International Conference on Machine Learning
, pp. 279-286
-
-
Dembczynski, K.1
Cheng, W.2
Hüllermeier, E.3
-
7
-
-
76649137444
-
A kernel method for multilabelled classification
-
T. G. Dietterich, S. Becker, and Z. Ghahramani, editors, pages MIT Press, Cambridge, MA
-
A. Elisseeff and J. Weston. A kernel method for multilabelled classification. In T. G. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Information Processing Systems 14, pages 681-687. MIT Press, Cambridge, MA, 2002.
-
(2002)
Advances in Neural Information Processing Systems
, vol.14
, pp. 681-687
-
-
Elisseeff, A.1
Weston, J.2
-
9
-
-
77956531458
-
Large scale max-margin multi-label classification with priors
-
Haifa, Israel
-
B. Hariharan, L. Zelnik-Manor, S. V. N. Vishwanathan, and M. Varma. Large scale max-margin multi-label classification with priors. In Proceedings of the 27th International Conference on Machine Learning, pages 423-430, Haifa, Israel, 2010.
-
(2010)
Proceedings of the 27th International Conference on Machine Learning
, pp. 423-430
-
-
Hariharan, B.1
Zelnik-Manor, L.2
Vishwanathan, S. V. N.3
Varma, M.4
-
10
-
-
77956528679
-
Multi-label prediction via compressed sensing
-
Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors, pages MIT Press, Cambridge, MA
-
D. Hsu, S. Kakade, J. Langford, and T. Zhang. Multi-label prediction via compressed sensing. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors, Advances in Neural Information Processing Systems 22, pages 772-780. MIT Press, Cambridge, MA, 2009.
-
(2009)
Advances in Neural Information Processing Systems
, vol.22
, pp. 772-780
-
-
Hsu, D.1
Kakade, S.2
Langford, J.3
Zhang, T.4
-
11
-
-
60949085230
-
Multi-label literature classification based on the gene ontology graph
-
B. Jin, B. Muller, C. Zhai, and X. Lu. Multi-label literature classification based on the gene ontology graph. BMC bioinformatics, 9(1):525, 2008.
-
(2008)
BMC bioinformatics
, vol.9
, Issue.1
, pp. 525
-
-
Jin, B.1
Muller, B.2
Zhai, C.3
Lu, X.4
-
14
-
-
85162354773
-
Submodular multilabel learning
-
J. Shawe-Taylor, R.S. Zemel, P. Bartlett, F.C.N. Pereira, and K.Q. Weinberger, editors, pages MIT Press, Cambridge, MA
-
James Petterson and Tiberio S. Caetano. Submodular multilabel learning. In J. Shawe-Taylor, R.S. Zemel, P. Bartlett, F.C.N. Pereira, and K.Q. Weinberger, editors, Advances in Neural Information Processing Systems 24, pages 1512-1520. MIT Press, Cambridge, MA, 2011.
-
(2011)
Advances in Neural Information Processing Systems
, vol.24
, pp. 1512-1520
-
-
Petterson, James1
Caetano, Tiberio S.2
-
15
-
-
83155175374
-
Classifier chains for multi-label classification
-
J. Read, B. Pfahringer, G. Holmes, and E. Frank. Classifier chains for multi-label classification. Machine Learning, 85(3):333-359, 2011.
-
(2011)
Machine Learning
, vol.85
, Issue.3
, pp. 333-359
-
-
Read, J.1
Pfahringer, B.2
Holmes, G.3
Frank, E.4
-
16
-
-
31844451556
-
Learning hierarchical multi-category text classifcation models
-
Bonn, Germany
-
J. Rousu, C. Saunders, S. Szedmak, and J. Shawe-Taylor. Learning hierarchical multi-category text classifcation models. In Proceedings of the 22nd International Conference on Machine Learning, pages 774-751, Bonn, Germany, 2005.
-
(2005)
Proceedings of the 22nd International Conference on Machine Learning
, pp. 774-751
-
-
Rousu, J.1
Saunders, C.2
Szedmak, S.3
Shawe-Taylor, J.4
-
17
-
-
0033905095
-
Boostexter: a boosting-based system for text categorization
-
R. E. Schapire and Y. Singer. 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
-
18
-
-
65449185036
-
Hypergraph spectral learning for multi-label classification
-
Las Vegas, NV
-
L. Sun, S. Ji, and J. Ye. Hypergraph spectral learning for multi-label classification. In Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 668-676, Las Vegas, NV, 2008.
-
(2008)
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 668-676
-
-
Sun, L.1
Ji, S.2
Ye, J.3
-
19
-
-
77955908068
-
Correlation-based pruning of stacked binary relevance models for multi-label learning
-
Bled, Slovenia
-
G. Tsoumakas, A. Dimou, E. Spyromitros, and V. Mezaris. Correlation-based pruning of stacked binary relevance models for multi-label learning. In Proceedings of the 1st International Workshop on Learning from Multi-Label Data, pages 101-116, Bled, Slovenia, 2009.
-
(2009)
Proceedings of the 1st International Workshop on Learning from Multi-Label Data
, pp. 101-116
-
-
Tsoumakas, G.1
Dimou, A.2
Spyromitros, E.3
Mezaris, V.4
-
20
-
-
84958141402
-
Parametric mixture models for multilabeled text
-
S. Becker, S. Thrun, and K. Obermayer, editors, pages Cambridge, MA, MIT Press
-
N. Ueda and K. Saito. Parametric mixture models for multilabeled text. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems 15, pages 721-728, Cambridge, MA, 2003. MIT Press.
-
(2003)
Advances in Neural Information Processing Systems
, vol.15
, pp. 721-728
-
-
Ueda, N.1
Saito, K.2
-
22
-
-
33947681316
-
ML-kNN: A lazy learning approach to multi-label learning
-
M.-L. Zhang and Z.-H. Zhou. ML-kNN: A lazy learning approach to multi-label learning. Pattern Recognition, 40(7):2038-2048, 2007.
-
(2007)
Pattern Recognition
, vol.40
, Issue.7
, pp. 2038-2048
-
-
Zhang, M.-L.1
Zhou, Z.-H.2
-
23
-
-
33947396751
-
Solving multi-instance problems with classifier ensemble based on constructive clustering
-
Z.-H. Zhou and M.-L. Zhang. Solving multi-instance problems with classifier ensemble based on constructive clustering. Knowledge and Information Systems, 11(2):155-170, 2007.
-
(2007)
Knowledge and Information Systems
, vol.11
, Issue.2
, pp. 155-170
-
-
Zhou, Z.-H.1
Zhang, M.-L.2
-
24
-
-
80955134248
-
Multi-instance multi-label learning
-
Z.-H. Zhou, M.-L. Zhang, S.-J. Huang, and Y.-F. Li. Multi-instance multi-label learning. Artificial Intelligence, 176(1):2291-2320, 2012.
-
(2012)
Artificial Intelligence
, vol.176
, Issue.1
, pp. 2291-2320
-
-
Zhou, Z.-H.1
Zhang, M.-L.2
Huang, S.-J.3
Li, Y.-F.4
|