-
2
-
-
3042597440
-
Learning multi-label scene classification
-
Matthew R. Boutell, Jiebo Luo, Xipeng Shen, and Christopher 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
-
3
-
-
68949141664
-
Combining instance-based learning and logistic regression for multi-label classification
-
Weiwei Cheng and Eyke Hullermeier. Combining instance-based learning and logistic regression for multi-label classification. Machine Learning, 76(23):211-225, 2009.
-
(2009)
Machine Learning
, vol.76
, Issue.23
, pp. 211-225
-
-
Cheng, W.1
Hullermeier, E.2
-
4
-
-
35748943218
-
A discretization algorithm based on class-attribute contingency coefficient
-
Tsai Cheng-Jung, Lee Chien-I, and Yang Wei-Pang. A discretization algorithm based on class-attribute contingency coefficient. Information Sciences, (178):714-731, 2008.
-
(2008)
Information Sciences
, Issue.178
, pp. 714-731
-
-
Tsai, C.-J.1
Lee, C.-I.2
Yang, W.-P.3
-
5
-
-
84933530882
-
Approximating discrete probability distributions with dependence trees
-
C. Chow and C. Liu. Approximating discrete probability distributions with dependence trees. IEEE Transactions on Information Theory, 14:462-467, 1968.
-
(1968)
IEEE Transactions on Information Theory
, vol.14
, pp. 462-467
-
-
Chow, C.1
Liu, C.2
-
6
-
-
34249832377
-
A bayesian method for the induction of probabilistic networks from data
-
Gregory F. Cooper and Edward Herskovits. A bayesian method for the induction of probabilistic networks from data. Machine Learning, (9):309-347, 1992.
-
(1992)
Machine Learning
, Issue.9
, pp. 309-347
-
-
Cooper, G.F.1
Herskovits, E.2
-
7
-
-
38049160416
-
Inference and learning in multidimensional bayesian network classifiers
-
In European Conference on Symbolic and Quantitative Approaches to Reasoning under Uncertainty
-
Peter R. de Waal and Linda C. van der Gaag. Inference and learning in multidimensional bayesian network classifiers. In In European Conference on Symbolic and Quantitative Approaches to Reasoning under Uncertainty, Lecture Notes in Artificial Intelligence, volume 4724, pages 501-511, 2007.
-
(2007)
Lecture Notes in Artificial Intelligence
, vol.4724
, pp. 501-511
-
-
De Waal, P.R.1
Van Der Gaag, L.C.2
-
9
-
-
58849103803
-
Automated heart wall motion abnormality detection from ultrasound images using bayesian networks
-
Maleeha Qazi, Glenn Fung, Sriram Krishnan, Romer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, and Dhanalakshmi Chandrasekaran. Automated heart wall motion abnormality detection from ultrasound images using bayesian networks. International Joint Conference on Articial Intelligence, pages 519-525, 2007.
-
(2007)
International Joint Conference on Articial Intelligence
, pp. 519-525
-
-
Qazi, M.1
Fung, G.2
Krishnan, S.3
Rosales, R.4
Steck, H.5
Rao, R.B.6
Poldermans, D.7
Chandrasekaran, D.8
-
10
-
-
70349968175
-
Classifier chains for multi-label classification
-
J. Read, B. Pfahringer, G. Holmes, and E. Frank. Classifier chains for multi-label classification. In Proceedings ECML/PKDD, pages 254-269, 2009.
-
(2009)
Proceedings ECML/PKDD
, pp. 254-269
-
-
Read, J.1
Pfahringer, B.2
Holmes, G.3
Frank, E.4
-
12
-
-
0028483915
-
Finding MAPs for belief networks is NP-hard
-
S. E. Shimony. Finding MAPs for belief networks is NP-hard. Artificial Intelligence, 68(2):399-410, 1994.
-
(1994)
Artificial Intelligence
, vol.68
, Issue.2
, pp. 399-410
-
-
Shimony, S.E.1
-
15
-
-
52949141834
-
Decision trees for hierarchical multi-label classication
-
Celine Vens, Jan Struyf, Leander Schietgat, Sas̃o Dz̃eroski, and Hendrik Blockeel. Decision trees for hierarchical multi-label classication. Machine Learning, 73(2):185-214, 2008.
-
(2008)
Machine Learning
, vol.73
, Issue.2
, pp. 185-214
-
-
Vens, C.1
Struyf, J.2
Schietgat, L.3
Dz̃eroski, S.4
Blockeel, H.5
-
16
-
-
33748366796
-
Multi-label neural networks with applications to functional genomics and text categorization
-
Min Ling Zhang and Zhi Hua Zhou. Multi-label 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, Z.H.2
-
17
-
-
33947681316
-
Ml-knn: A lazy learning approach to multi-label learning
-
Min Ling Zhang and Zhi Hua 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
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