-
1
-
-
55149088329
-
Convex multitask feature learning
-
Argyriou, A., Evgeniou, T., and Pontil, M. Convex multitask feature learning. Mach. Learn., 73(3):243-272, 2008.
-
(2008)
Mach. Learn.
, vol.73
, Issue.3
, pp. 243-272
-
-
Argyriou, A.1
Evgeniou, T.2
Pontil, M.3
-
2
-
-
84867137594
-
The landmark selection method for multiple output prediction
-
Balasubramanian, K. and Lebanon, G. The landmark selection method for multiple output prediction. In ICML, 2012.
-
(2012)
ICML
-
-
Balasubramanian, K.1
Lebanon, G.2
-
3
-
-
84897481254
-
Efficient multi-label classification with many labels
-
Bi, W. and Kwok, J. Efficient multi-label classification with many labels. In ICML, 2013.
-
(2013)
ICML
-
-
Bi, W.1
Kwok, J.2
-
4
-
-
3042597440
-
Learning multi-label scene classification
-
Boutell, M.R., Luo, J., Shen, X., and Brown, C.M. Learning multi-label scene classification. Pattern Recognit., 37(9): 1757-1771, 2004.
-
(2004)
Pattern Recognit
, vol.37
, Issue.9
, pp. 1757-1771
-
-
Boutell, M.R.1
Luo, J.2
Shen, X.3
Brown, C.M.4
-
5
-
-
33847419773
-
Supervised learning of semantic classes for image annotation and retrieval
-
Carneiro, G., Chan, A.B., Moreno, P.J., and Vasconcelos, N. Supervised learning of semantic classes for image annotation and retrieval. IEEE Trans. Pattern Anal. Mach. Intell., 29(3):394-410, 2007.
-
(2007)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.29
, Issue.3
, pp. 394-410
-
-
Carneiro, G.1
Chan, A.B.2
Moreno, P.J.3
Vasconcelos, N.4
-
6
-
-
84877784525
-
Feature-aware label space dimension reduction for multi-label classification
-
Chen, Y. and Lin, H. Feature-aware label space dimension reduction for multi-label classification. In NIPS, 2012.
-
(2012)
NIPS
-
-
Chen, Y.1
Lin, H.2
-
7
-
-
84893085273
-
Multiclass-multilabel classification with more classes than examples
-
Dekel, O. and Shamir, O. Multiclass-multilabel classification with more classes than examples. In AISTAT, 2010.
-
(2010)
AISTAT
-
-
Dekel, O.1
Shamir, O.2
-
8
-
-
21844456299
-
Learning multiple tasks with kernel methods
-
Evgeniou, T., Micchelli, C.A., and Pontil, M. Learning multiple tasks with kernel methods. In J. Mach. Learn. Res., pp. 615-637, 2005.
-
(2005)
J. Mach. Learn. Res.
, pp. 615-637
-
-
Evgeniou, T.1
Micchelli, C.A.2
Pontil, M.3
-
9
-
-
50949133669
-
Lib- linear: A library for large linear classification
-
Fan, R., Chang, K., Hsieh, C., Wang, X., and Lin, C. Lib- linear: A library for large linear classification. J. Mach. Learn. Res., 9:1871-1874, 2008.
-
(2008)
J. Mach. Learn. Res.
, vol.9
, pp. 1871-1874
-
-
Fan, R.1
Chang, K.2
Hsieh, C.3
Wang, X.4
Lin, C.5
-
10
-
-
52949105710
-
Multilabel classification via calibrated label ranking
-
Furnkranz, J, Hullermeier, E, Loza Mencia, E., and Brinker, K. Multilabel classification via calibrated label ranking. Mach. Learn., 73(2): 133-153, 2008.
-
(2008)
Mach. Learn.
, vol.73
, Issue.2
, pp. 133-153
-
-
Furnkranz, J.1
Hullermeier, E.2
Loza Mencia, E.3
Brinker, K.4
-
11
-
-
10044285992
-
Canonical correlation analysis: An overview with application to learning methods
-
Hardoon, D.R., Szedmak, S.R., and Shawe-taylor, J.R. Canonical correlation analysis: An overview with application to learning methods. Neural Comput., 16(12), 2004.
-
(2004)
Neural Comput.
, vol.16
, Issue.12
-
-
Hardoon, D.R.1
Szedmak, S.R.2
Shawe-Taylor, J.R.3
-
12
-
-
77956531458
-
Large scale max-margin multi-label classification with priors
-
Hariharan, B., Zelnik-Manor, L., Vishwanathan, S., and Varma, M. Large scale max-margin multi-label classification with priors. In ICML, 2010.
-
(2010)
ICML
-
-
Hariharan, B.1
Zelnik-Manor, L.2
Vishwanathan, S.3
Varma, M.4
-
13
-
-
77956528679
-
Multi- label prediction via compressed sensing
-
Hsu, D., Kakade, S.M., Langford, J., and Zhang, T. Multi- label prediction via compressed sensing. NIPS, 2009.
-
(2009)
NIPS
-
-
Hsu, D.1
Kakade, S.M.2
Langford, J.3
Zhang, T.4
-
15
-
-
84877734258
-
Multilabel classification using bayesian compressed sensing
-
Kapoor, A., Viswanathan, R., and Jain, P. Multilabel classification using bayesian compressed sensing. In NIPS, 2012.
-
(2012)
NIPS
-
-
Kapoor, A.1
Viswanathan, R.2
Jain, P.3
-
16
-
-
77956208484
-
Multilabel text classification for automated tag suggestion
-
Katakis, I., Tsoumakas, G., and Vlahavas, I. Multilabel text classification for automated tag suggestion. In ECMUPKDD, 2008.
-
(2008)
ECMUPKDD
-
-
Katakis, I.1
Tsoumakas, G.2
Vlahavas, I.3
-
17
-
-
0030502142
-
Deflation techniques for an implicitly restarted arnoldi iteration
-
Lehoucq, R. B. and Sorensen, D. C. Deflation techniques for an implicitly restarted arnoldi iteration. SIAM J. Matrix Anal. Appl., 17(4):789-821, 1996.
-
(1996)
SIAM J. Matrix Anal. Appl.
, vol.17
, Issue.4
, pp. 789-821
-
-
Lehoucq, R.B.1
Sorensen, D.C.2
-
18
-
-
70350625169
-
Lire: Lucene image retrieval: An extensible java cbir library
-
Lux, M. and Chatzichristofis, S. A. Lire: lucene image retrieval: An extensible java cbir library. In MM, 2008.
-
(2008)
MM
-
-
Lux, M.1
Chatzichristofis, S.A.2
-
19
-
-
62749175137
-
Cosamp: Iterative signal recovery from incomplete and inaccurate samples
-
Needell, D. and Tropp, J.A. Cosamp: Iterative signal recovery from incomplete and inaccurate samples. Appl. Comput. Harmon. Anal., 26(3):301-321, 2009.
-
(2009)
Appl. Comput. Harmon. Anal.
, vol.26
, Issue.3
, pp. 301-321
-
-
Needell, D.1
Tropp, J.A.2
-
20
-
-
84861452189
-
Multi-label classification with principle label space transformation
-
Tai, F. and Lin, H. Multi-label classification with principle label space transformation. In MLD, 2010.
-
(2010)
MLD
-
-
Tai, F.1
Lin, H.2
-
21
-
-
24944537843
-
Large margin methods for structured and interdependent output variables
-
Tsochantaridis, I., Joachims, T., Hofmann, T., Altun, Y., and Singer, Y. Large margin methods for structured and interdependent output variables. J. Mach. Learn. Res., 6 (2): 1453, 2006.
-
(2006)
J. Mach. Learn. Res.
, vol.6
, Issue.2
, pp. 1453
-
-
Tsochantaridis, I.1
Joachims, T.2
Hofmann, T.3
Altun, Y.4
Singer, Y.5
-
23
-
-
74849083829
-
Effective and efficient multilabel classification in domains with large number of labels
-
Tsoumakas, G., Katakis, I., and Vlahavas, I. Effective and efficient multilabel classification in domains with large number of labels. In ECMUPKDD, 2008a.
-
(2008)
ECMUPKDD
-
-
Tsoumakas, G.1
Katakis, I.2
Vlahavas, I.3
-
24
-
-
77956163078
-
Mining multi-label data
-
Springer
-
Tsoumakas, G., Katakis, I., and Vlahavas, I. Mining multi-label data. In Data Mining and Knowledge Discovery Handbook, pp. 667-685. Springer, 2010.
-
(2010)
Data Mining and Knowledge Discovery Handbook
, pp. 667-685
-
-
Tsoumakas, G.1
Katakis, I.2
Vlahavas, I.3
-
25
-
-
80052236046
-
Mulan: A java library for multi-label learning
-
Tsoumakas, G., Spyromitros-Xioufis, E., Vilcek, J., and Vlahavas, I. Mulan: A java library for multi-label learning. J. Mach. Learn. Res., 12:2411-2414, 2011.
-
(2011)
J. Mach. Learn. Res.
, vol.12
, pp. 2411-2414
-
-
Tsoumakas, G.1
Spyromitros-Xioufis, E.2
Vilcek, J.3
Vlahavas, I.4
-
27
-
-
84863603789
-
Multi-label classification using boolean matrix decomposition
-
Wicker, J., Pfahringer, B., and Kramer, S. Multi-label classification using boolean matrix decomposition. In SAC, 2012.
-
(2012)
SAC
-
-
Wicker, J.1
Pfahringer, B.2
Kramer, S.3
-
28
-
-
84885061949
-
A review on multi-label learning algorithms
-
PP
-
Zhang, M. and Zhou, Z. A review on multi-label learning algorithms. IEEE Trans. Knowl. Data Eng., PP(99):1-1, 2013.
-
(2013)
IEEE Trans. Knowl. Data Eng.
, Issue.99
, pp. 1-1
-
-
Zhang, M.1
Zhou, Z.2
-
29
-
-
84867117484
-
Multi-label output codes using canonical correlation analysis
-
Zhang, Y. and Schneider, J.G. Multi-label output codes using canonical correlation analysis. In AISTAT, 2011.
-
(2011)
AISTAT
-
-
Zhang, Y.1
Schneider, J.G.2
-
30
-
-
84919895934
-
Multi-label subspace ensemble
-
Zhou, T. and Tao, D. Multi-label subspace ensemble. In AISTAT, 2012.
-
(2012)
AISTAT
-
-
Zhou, T.1
Tao, D.2
-
31
-
-
84865275504
-
Compressed labeling on distilled labelsets for multi-label learning
-
Zhou, T., Tao, D., and Wu, X. Compressed labeling on distilled labelsets for multi-label learning. Mach. Learn., 88(1-2):69-126, 2012.
-
(2012)
Mach. Learn.
, vol.88
, Issue.1-2
, pp. 69-126
-
-
Zhou, T.1
Tao, D.2
Wu, X.3
|