-
1
-
-
80052253522
-
Convex optimization with sparsity-inducing norms
-
Sra, S., Nowozin, S., and Wright, S. J. (eds.), MIT Press
-
Bach, F., Jenatton, R., Mairal, J., and Obozinski, G. Convex optimization with sparsity-inducing norms. In Sra, S., Nowozin, S., and Wright, S. J. (eds.), Optimization for Machine Learning. MIT Press, 2011.
-
(2011)
Optimization for Machine Learning
-
-
Bach, F.1
Jenatton, R.2
Mairal, J.3
Obozinski, G.4
-
2
-
-
84867137594
-
The landmark selection method for multiple output prediction
-
Edinburgh, Scotland, June
-
Balasubramanian, K. and Lebanon, G. The landmark selection method for multiple output prediction. In Proceedings of the 29th International Conference on Machine Learning, pp. 983-990, Edinburgh, Scotland, June 2012.
-
(2012)
Proceedings of the 29th International Conference on Machine Learning
, pp. 983-990
-
-
Balasubramanian, K.1
Lebanon, G.2
-
3
-
-
80053440655
-
Multi-label classification on tree-and DAG-structured hierarchies
-
Bellevue, WA, USA, June
-
Bi, W. and Kwok, J.T. Multi-label classification on tree-and DAG-structured hierarchies. In Proceedings of the 28th International Conference on Machine Learning, pp. 17-24, Bellevue, WA, USA, June 2011.
-
(2011)
Proceedings of the 28th International Conference on Machine Learning
, pp. 17-24
-
-
Bi, W.1
Kwok, J.T.2
-
4
-
-
70349152160
-
An improved approximation algorithm for the column subset selection problem
-
New York, NY, USA, January
-
Boutsidis, C., Mahoney, M.W., and Drineas, P. An improved approximation algorithm for the column subset selection problem. In Proceedings of the 20th ACM-SIAM Symposium on Discrete Algorithms, pp. 968-977, New York, NY, USA, January 2009.
-
(2009)
Proceedings of the 20th ACM-SIAM Symposium on Discrete Algorithms
, pp. 968-977
-
-
Boutsidis, C.1
Mahoney, M.W.2
Drineas, P.3
-
5
-
-
84877784525
-
Feature-aware label space dimension reduction for multi-label classification
-
Chen, Y-N. and Lin, H-T. Feature-aware label space dimension reduction for multi-label classification. In Advances in Neural Information Processing Systems 25, pp. 1538-1546, 2012.
-
(2012)
In Advances in Neural Information Processing Systems
, vol.25
, pp. 1538-1546
-
-
Chen, Y.-N.1
Lin, H.-T.2
-
6
-
-
77956522919
-
Bayes optimal multilabel classification via probabilistic classifier chains
-
Haifa, Isreal, June
-
Dembczynski, K., Cheng, W., and Hüllermeier, E. Bayes optimal multilabel classification via probabilistic classifier chains. In Proceedings of the 27th International Conference on Machine Learning, pp. 279-286, Haifa, Isreal, June 2010.
-
(2010)
Proceedings of the 27th International Conference on Machine Learning
, pp. 279-286
-
-
Dembczynski, K.1
Cheng, W.2
Hüllermeier, E.3
-
7
-
-
33750079844
-
Sub-space sampling and relative-error matrix approximation: Column-based methods
-
Barcelona, Spain, August
-
Drineas, P., Mahoney, M., and Muthukrishnan, S. Sub-space sampling and relative-error matrix approximation: Column-based methods. In Proceedings of the 9th International Conference on Approximation Algorithms for Combinatorial Optimization Problems, pp. 316-326, Barcelona, Spain, August 2006.
-
(2006)
Proceedings of the 9th International Conference on Approximation Algorithms for Combinatorial Optimization Problems
, pp. 316-326
-
-
Drineas, P.1
Mahoney, M.2
Muthukrishnan, S.3
-
8
-
-
84937572644
-
Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary
-
Copenhagen, Denmark, May
-
Duygulu, P., Barnard, K., Freitas, N.D., and Forsyth, D. Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. In Proceedings of the 7th European Conference on Computer Vision, pp. 97-112, Copenhagen, Denmark, May 2002.
-
(2002)
Proceedings of the 7th European Conference on Computer Vision
, pp. 97-112
-
-
Duygulu, P.1
Barnard, K.2
Freitas, N.D.3
Forsyth, D.4
-
9
-
-
0003216822
-
Efficient algorithms for computing a strong rank-revealing QR factorization
-
Gu, M. and Eisenstat, S.C. Efficient algorithms for computing a strong rank-revealing qr factorization. SIAM Journal on Scientific Computing, 17(4):848-869, 1996. (Pubitemid 126621180)
-
(1996)
SIAM Journal of Scientific Computing
, vol.17
, Issue.4
, pp. 848-869
-
-
Gu, M.1
Eisenstat, S.C.2
-
10
-
-
77956531458
-
Large scale max-margin multi-label classification with priors
-
Haifa, Isreal, June
-
Hariharan, B., Zelnik-Manor, L., Vishwanathan, S.V.N., and Varma, M. Large scale max-margin multi-label classification with priors. In Proceedings of the 27th International Conference on Machine Learning, pp. 423-430, Haifa, Isreal, June 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
-
11
-
-
77956528679
-
Multilabel prediction via compressed sensing
-
Hsu, D., Kakade, S.M., Langford, J., and Zhang, T. Multilabel prediction via compressed sensing. In Advances in Neural Information Processing Systems 22, pp. 772-780, 2009.
-
(2009)
Advances in Neural Information Processing Systems
, vol.22
, pp. 772-780
-
-
Hsu, D.1
Kakade, S.M.2
Langford, J.3
Zhang, T.4
-
13
-
-
56049120625
-
Efficient pairwise multilabel classification for large-scale problems in the legal domain
-
Antwerp, Belgium
-
Mencía, E.L. and Fürnkranz, J. Efficient pairwise multilabel classification for large-scale problems in the legal domain. In Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 50-65, Antwerp, Belgium, 2008.
-
(2008)
Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases
, pp. 50-65
-
-
Mencía, E.L.1
Fürnkranz, J.2
-
14
-
-
34547728320
-
Sampling from large matrices: An approach through geometric functional analysis
-
Rudelson, M. and Vershynin, R. Sampling from large matrices: An approach through geometric functional analysis. Journal of the ACM, 54(4):21, 2007.
-
(2007)
Journal of the ACM
, vol.54
, Issue.4
, pp. 21
-
-
Rudelson, M.1
Vershynin, R.2
-
15
-
-
84867116137
-
Multilabel classification with principal label space transformation
-
Tai, F. and Lin, H.T. Multilabel classification with principal label space transformation. Neural Computation, 24 (9):2508-2542, 2012.
-
(2012)
Neural Computation
, vol.24
, Issue.9
, pp. 2508-2542
-
-
Tai, F.1
Lin, H.T.2
-
16
-
-
24944537843
-
Large margin methods for structured and interdependent output variables
-
Tsochantaridis, I., Joachims, T., Hofmann, T., and Altun, Y. Large margin methods for structured and interdependent output variables. Journal of Machine Learning Research, 6(2):1453, 2005.
-
(2005)
Journal of Machine Learning Research
, vol.6
, Issue.2
, pp. 1453
-
-
Tsochantaridis, I.1
Joachims, T.2
Hofmann, T.3
Altun, Y.4
-
17
-
-
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 Proceedings of the ECML/PKDD Workshop on Mining Multidimensional Data, Antwerp, Belgium, 2008.
-
Proceedings of the ECML/PKDD Workshop on Mining Multidimensional Data, Antwerp, Belgium, 2008
-
-
Tsoumakas, G.1
Katakis, I.2
Vlahavas, I.3
-
18
-
-
77956163078
-
Mining multilabel data
-
Maimon, O. and Rokach, L. (eds.), Springer
-
Tsoumakas, G., Katakis, I., and Vlahavas, I. Mining multilabel data. In Maimon, O. and Rokach, L. (eds.), 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
-
19
-
-
57049092565
-
Semantic annotation and retrieval of music and sound effects
-
Turnbull, D., Barrington, L, Torres, D., and Lanckriet, G. Semantic annotation and retrieval of music and sound effects. IEEE Transactions on Audio, Speech and Language Processing, 16(2):467-476, 2008.
-
(2008)
IEEE Transactions on Audio, Speech and Language Processing
, vol.16
, Issue.2
, pp. 467-476
-
-
Turnbull, D.1
Barrington, L.2
Torres, D.3
Lanckriet, G.4
-
20
-
-
52949141834
-
Decision trees for hierarchical multi-label classification
-
Vens, C., Struyf, J., Schietgat, L., Džeroski, S., and Blockeel, H. Decision trees for hierarchical multi-label classification. Machine Learning, 73:185-214, 2008.
-
(2008)
Machine Learning
, vol.73
, pp. 185-214
-
-
Vens, C.1
Struyf, J.2
Schietgat, L.3
Džeroski, S.4
Blockeel, H.5
-
21
-
-
84862283912
-
Multi-label output codes using canonical correlation analysis
-
Ft. Lauderdale, FL, USA, April
-
Zhang, Y. and Schneider, J. Multi-label output codes using canonical correlation analysis. In Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, pp. 873-882, Ft. Lauderdale, FL, USA, April 2011.
-
(2011)
Proceedings of the 14th International Conference on Artificial Intelligence and Statistics
, pp. 873-882
-
-
Zhang, Y.1
Schneider, J.2
-
22
-
-
84867119971
-
Maximum margin output coding
-
Edinburgh, Scotland, June
-
Zhang, Y. and Schneider, J. Maximum margin output coding. In Proceedings of the 29th International Conference on Machine Learning, pp. 1575-1582, Edinburgh, Scotland, June 2012.
-
(2012)
Proceedings of the 29th International Conference on Machine Learning
, pp. 1575-1582
-
-
Zhang, Y.1
Schneider, J.2
-
23
-
-
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. Machine Learning, 88:69-126, 2012.
-
(2012)
Machine Learning
, vol.88
, pp. 69-126
-
-
Zhou, T.1
Tao, D.2
Wu, X.3
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