-
2
-
-
0033905095
-
Boostexter: A boosting-based system for text categorization
-
Schapire R E, Singer Y. Boostexter: A boosting-based system for text categorization[J]. Machine Learning, 2000, 39(2/3): 135-168
-
(2000)
Machine Learning
, vol.39
, Issue.2-3
, pp. 135-168
-
-
Schapire, R.E.1
Singer, Y.2
-
4
-
-
3042597440
-
Learning multi-label scene classification
-
Boutell M R, Luo Jiebo, Shen Xipeng, et al. Learning multi-label scene classification[J]. Pattern Recognition, 2004, 37(9): 1757-1771
-
(2004)
Pattern Recognition
, vol.37
, Issue.9
, pp. 1757-1771
-
-
Boutell, M.R.1
Luo, J.2
Shen, X.3
-
5
-
-
33750718803
-
Semi-supervised multi-label learning by constrained non-negative matrix factorization
-
Menlo Park: AAAI
-
Liu Yi, Jin Rong, Yang Liu. Semi-supervised multi-label learning by constrained non-negative matrix factorization[C]//Proc of the 21st National Conf on Artificial Intelligence. Menlo Park: AAAI, 2006: 421-426
-
(2006)
Proc of the 21st National Conf on Artificial Intelligence
, pp. 421-426
-
-
Liu, Y.1
Jin, R.2
Yang, L.3
-
6
-
-
52649118114
-
Semi-supervised multi-label learning by Solving a Sylvester equation
-
Los Alamitos, CA: IEEE Computer Society
-
Chen Gang, Song Yangqiu, Wang Fei, et al. Semi-supervised multi-label learning by Solving a Sylvester equation[C]//Proc of SIAM Int Conf on Data Mining. Los Alamitos, CA: IEEE Computer Society, 2008: 410-419
-
(2008)
Proc of SIAM Int Conf on Data Mining
, pp. 410-419
-
-
Chen, G.1
Song, Y.2
Wang, F.3
-
8
-
-
77956464907
-
A transductive multi-label classification method for weak labeling
-
Chinese source
-
Kong Xiangnan, Li Ming, Jiang Yuan, et al. A transductive multi-label classification method for weak labeling[J]. Journal of Computer Research and Development, 2010, 47(8): 1392-1399 (in Chinese)
-
(2010)
Journal of Computer Research and Development
, vol.47
, Issue.8
, pp. 1392-1399
-
-
Kong, X.1
Li, M.2
Jiang, Y.3
-
9
-
-
84957069814
-
Text categorization with support vector machines: Learning with many relevant features
-
Berlin: Springer
-
Joachims T. Text categorization with support vector machines: Learning with many relevant features[C]//Proc of the 10th European Conf on Machine Learning. Berlin: Springer, 1998: 137-142
-
(1998)
Proc of the 10th European Conf on Machine Learning
, pp. 137-142
-
-
Joachims, T.1
-
14
-
-
33645323768
-
Hierarchical multi-label prediction of gene function
-
Barutcuoglu Z, Schapire R E, Troyanskaya O G. Hierarchical multi-label prediction of gene function[J]. Bioinformatics, 2006, 22(7): 830-836
-
(2006)
Bioinformatics
, vol.22
, Issue.7
, pp. 830-836
-
-
Barutcuoglu, Z.1
Schapire, R.E.2
Troyanskaya, O.G.3
-
15
-
-
21844456299
-
Learning multiple tasks with kernel methods
-
Evgeniou T, Micchelli C, Pontil M. Learning multiple tasks with kernel methods[J]. The Journal of Machine Learning Research, 2005, 6(4): 615-637
-
(2005)
The Journal of Machine Learning Research
, vol.6
, Issue.4
, pp. 615-637
-
-
Evgeniou, T.1
Micchelli, C.2
Pontil, M.3
-
16
-
-
33748366796
-
Multilabel neural networks with applications to functional genomics and text categorization
-
Zhang Minling, Zhou Zhihua. Multilabel neural networks with applications to functional genomics and text categorization[J]. IEEE Trans on Knowledge and Data Engineering, 2006, 18(10): 1338-1351
-
(2006)
IEEE Trans on Knowledge and Data Engineering
, vol.18
, Issue.10
, pp. 1338-1351
-
-
Zhang, M.1
Zhou, Z.2
-
17
-
-
33947681316
-
Ml-knn: A lazy learning approach to multi-label learning
-
Zhang Minling, Zhou Zhihua. Ml-knn: A lazy learning approach to multi-label learning[J]. Pattern Recognition, 2007, 40(7): 2038-2048
-
(2007)
Pattern Recognition
, vol.40
, Issue.7
, pp. 2038-2048
-
-
Zhang, M.1
Zhou, Z.2
-
18
-
-
33750729556
-
Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
-
Belkin M, Niyogi P, Sindhwani V. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples[J]. The Journal of Machine Learning Research, 2006, 7(11): 2399-2434
-
(2006)
The Journal of Machine Learning Research
, vol.7
, Issue.11
, pp. 2399-2434
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
19
-
-
46249099027
-
-
Cambridge, MA: MIT Press
-
SchÄolkopf B, Smola A J.Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond[M]. Cambridge, MA: MIT Press, 2002
-
(2002)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
-
-
SchÄolkopf, B.1
Smola, A.J.2
-
20
-
-
0026678659
-
On the convergence of the coordinate descent method for convex differentiable minimization
-
Luo Zhiquan, Tseng P. On the convergence of the coordinate descent method for convex differentiable minimization[J]. Journal of Optimization Theory and Applications, 1992, 72(1): 7-35
-
(1992)
Journal of Optimization Theory and Applications
, vol.72
, Issue.1
, pp. 7-35
-
-
Luo, Z.1
Tseng, P.2
-
24
-
-
84899033524
-
Maximal margin labeling for multi-topic text categorization
-
Cambridge, MA: MIT Press
-
Kazawa H, Izumitani T, Taira H, et al. Maximal margin labeling for multi-topic text categorization[C]//Advances in Neural Information Processing Systems 17. Cambridge, MA: MIT Press, 2005: 649-656
-
(2005)
Advances in Neural Information Processing Systems 17
, pp. 649-656
-
-
Kazawa, H.1
Izumitani, T.2
Taira, H.3
-
25
-
-
80955134248
-
Multi-instance multi-label learning
-
Zhou Zhihua, Zhang Minling, Huang Shengjun, et al. Multi-instance multi-label learning[J]. Artificial Intelligence, 2012, 176(1): 2291-2320
-
(2012)
Artificial Intelligence
, vol.176
, Issue.1
, pp. 2291-2320
-
-
Zhou, Z.1
Zhang, M.2
Huang, S.3
|