-
1
-
-
84897109377
-
A review on multi-label learning algorithms
-
Aug.
-
M.-L. Zhang and Z.-H. Zhou, "A review on multi-label learning algorithms, " IEEE Trans. Knowl. Data Eng., vol. 26, no. 8, pp. 1819-1837, Aug. 2014.
-
(2014)
IEEE Trans. Knowl. Data Eng
, vol.26
, Issue.8
, pp. 1819-1837
-
-
Zhang, M.-L.1
Zhou, Z.-H.2
-
2
-
-
14344255188
-
A MFoM learning approach to robust multiclass multi-label text categorization
-
S. Gao, W. Wu, C.-H. Lee, and T.-S. Chua, "A MFoM learning approach to robust multiclass multi-label text categorization, " in Proc. 21st Int. Conf. Mach. Learn., 2004, p. 42.
-
(2004)
Proc. 21st Int. Conf. Mach. Learn.
, pp. 42
-
-
Gao, S.1
Wu, W.2
Lee, C.-H.3
Chua, T.-S.4
-
3
-
-
84859075572
-
Semantic-gap-oriented active learning for multilabel image annotation
-
Apr.
-
J. Tang, Z.-J. Zha, D. Tao, and T.-S. Chua, "Semantic-gap-oriented active learning for multilabel image annotation, " IEEE Trans. Image Process., vol. 21, no. 4, pp. 2354-2360, Apr. 2012.
-
(2012)
IEEE Trans. Image Process
, vol.21
, Issue.4
, pp. 2354-2360
-
-
Tang, J.1
Zha, Z.-J.2
Tao, D.3
Chua, T.-S.4
-
4
-
-
84893849940
-
Multi-label image categorization with sparse factor representation
-
Mar.
-
F. Sun, J. Tang, H. Li, G.-J. Qi, and T. S. Huang, "Multi-label image categorization with sparse factor representation, " IEEE Trans. Image Process., vol. 23, no. 3, pp. 1028-1037, Mar. 2014.
-
(2014)
IEEE Trans. Image Process
, vol.23
, Issue.3
, pp. 1028-1037
-
-
Sun, F.1
Tang, J.2
Li, H.3
Qi, G.-J.4
Huang, T.S.5
-
5
-
-
79951846242
-
Structured max-margin learning for inter-related classifier training and multilabel image annotation
-
Mar.
-
J. Fan, Y. Shen, C. Yang, and N. Zhou, "Structured max-margin learning for inter-related classifier training and multilabel image annotation, " IEEE Trans. Image Process., vol. 20, no. 3, pp. 837-854, Mar. 2011.
-
(2011)
IEEE Trans. Image Process
, vol.20
, Issue.3
, pp. 837-854
-
-
Fan, J.1
Shen, Y.2
Yang, C.3
Zhou, N.4
-
6
-
-
84930951838
-
Robust structured subspace learning for data representation
-
Oct.
-
Z. Li, J. Liu, J. Tang, and H. Lu, "Robust structured subspace learning for data representation, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 37, no. 10, pp. 2085-2098, Oct. 2015.
-
(2015)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.37
, Issue.10
, pp. 2085-2098
-
-
Li, Z.1
Liu, J.2
Tang, J.3
Lu, H.4
-
7
-
-
84930965536
-
Neighborhood discriminant hashing for large-scale image retrieval
-
Sep.
-
J. Tang, Z. Li, M. Wang, and R. Zhao, "Neighborhood discriminant hashing for large-scale image retrieval, " IEEE Trans. Image Process., vol. 24, no. 9, pp. 2827-2840, Sep. 2015.
-
(2015)
IEEE Trans. Image Process
, vol.24
, Issue.9
, pp. 2827-2840
-
-
Tang, J.1
Li, Z.2
Wang, M.3
Zhao, R.4
-
8
-
-
84893836262
-
Sparse label-indicator optimization methods for image classification
-
Mar.
-
L. Jing and M. K. Ng, "Sparse label-indicator optimization methods for image classification, " IEEE Trans. Image Process., vol. 23, no. 3, pp. 1002-1014, Mar. 2014.
-
(2014)
IEEE Trans. Image Process
, vol.23
, Issue.3
, pp. 1002-1014
-
-
Jing, L.1
Ng, M.K.2
-
9
-
-
33645323768
-
Hierarchical multi-label prediction of gene function
-
Jan.
-
Z. Barutcuoglu, R. E. Schapire, and O. G. Troyanskaya, "Hierarchical multi-label prediction of gene function, " Bioinformatics, vol. 22, no. 7, pp. 830-836, Jan. 2006.
-
(2006)
Bioinformatics
, vol.22
, Issue.7
, pp. 830-836
-
-
Barutcuoglu, Z.1
Schapire, R.E.2
Troyanskaya, O.G.3
-
10
-
-
77956163078
-
Mining multi-label data
-
New York, NY, USA: Springer
-
G. Tsoumakas, I. Katakis, and I. Vlahavas, "Mining multi-label data, " in Data Mining and Knowledge Discovery Handbook. New York, NY, USA: Springer, 2010, pp. 667-685.
-
(2010)
Data Mining and Knowledge Discovery Handbook
, pp. 667-685
-
-
Tsoumakas, G.1
Katakis, I.2
Vlahavas, I.3
-
11
-
-
83155175374
-
Classifier chains for multi-label classification
-
Dec.
-
J. Read, B. Pfahringer, G. Holmes, and E. Frank, "Classifier chains for multi-label classification, " J. Mach. Learn., vol. 85, no. 3, pp. 333-359, Dec. 2011.
-
(2011)
J. Mach. Learn
, vol.85
, Issue.3
, pp. 333-359
-
-
Read, J.1
Pfahringer, B.2
Holmes, G.3
Frank, E.4
-
12
-
-
77956531458
-
Large scale max-margin multi-label classification with priors
-
B. Hariharan, L. Zelnik-Manor, M. Varma, and S. Vishwanathan, "Large scale max-margin multi-label classification with priors, " in Proc. 27th Int. Conf. Mach. Learn. (ICML), 2010, pp. 423-430.
-
(2010)
Proc. 27th Int. Conf. Mach. Learn. (ICML)
, pp. 423-430
-
-
Hariharan, B.1
Zelnik-Manor, L.2
Varma, M.3
Vishwanathan, S.4
-
14
-
-
84896063365
-
Probabilistic multi-label classification with sparse feature learning
-
Y. Guo and W. Xue, "Probabilistic multi-label classification with sparse feature learning, " in Proc. 23rd Int. Joint Conf. Artif. Intell., 2013, pp. 1373-1379.
-
(2013)
Proc. 23rd Int. Joint Conf. Artif. Intell.
, pp. 1373-1379
-
-
Guo, Y.1
Xue, W.2
-
15
-
-
84962641700
-
Multi-label learning by exploiting label correlations locally
-
S.-J. Huang, Z.-H. Zhou, and Z. Zhou, "Multi-label learning by exploiting label correlations locally, " in Proc. AAAI, 2012, pp. 1-7.
-
(2012)
Proc. AAAI
, pp. 1-7
-
-
Huang, S.-J.1
Zhou, Z.-H.2
Zhou, Z.3
-
16
-
-
84908151895
-
Multilabel classification with label correlations and missing labels
-
W. Bi and J. T. Kwok, "Multilabel classification with label correlations and missing labels, " in Proc. AAAI Conf. Artif. Intell. (AAAI), 2014, pp. 1680-1686.
-
(2014)
Proc. AAAI Conf. Artif. Intell. (AAAI)
, pp. 1680-1686
-
-
Bi, W.1
Kwok, J.T.2
-
17
-
-
84877784525
-
Feature-aware label space dimension reduction for multi-label classification
-
Y.-N. Chen and H.-T. Lin, "Feature-aware label space dimension reduction for multi-label classification, " in Proc. Adv. Neural Inf. Process. Syst., 2012, pp. 1529-1537.
-
(2012)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 1529-1537
-
-
Chen, Y.-N.1
Lin, H.-T.2
-
18
-
-
84867116137
-
Multilabel classification with principal label space transformation
-
F. Tai and H.-T. Lin, "Multilabel classification with principal label space transformation, " Neural Comput., vol. 24, no. 9, pp. 2508-2542, 2012.
-
(2012)
Neural Comput
, vol.24
, Issue.9
, pp. 2508-2542
-
-
Tai, F.1
Lin, H.-T.2
-
20
-
-
84893377206
-
Multi-label learning with pro loss
-
M. Xu, Y.-F. Li, and Z.-H. Zhou, "Multi-label learning with pro loss, " in Proc. AAAI Conf. Artif. Intell. (AAAI), 2013, pp. 1-7.
-
(2013)
Proc. AAAI Conf. Artif. Intell. (AAAI)
, pp. 1-7
-
-
Xu, M.1
Li, Y.-F.2
Zhou, Z.-H.3
-
21
-
-
84897712481
-
Multilabel image classification via high-order label correlation driven active learning
-
Mar.
-
B. Zhang, Y. Wang, and F. Chen, "Multilabel image classification via high-order label correlation driven active learning, " IEEE Trans. Image Process., vol. 23, no. 3, pp. 1430-1441, Mar. 2014.
-
(2014)
IEEE Trans. Image Process
, vol.23
, Issue.3
, pp. 1430-1441
-
-
Zhang, B.1
Wang, Y.2
Chen, F.3
-
22
-
-
0038453192
-
Rademacher and Gaussian complexities: Risk bounds and structural results
-
Mar.
-
P. L. Bartlett and S. Mendelson, "Rademacher and Gaussian complexities: Risk bounds and structural results, " J. Mach. Learn. Res., vol. 3, pp. 463-482, Mar. 2003.
-
(2003)
J. Mach. Learn. Res
, vol.3
, pp. 463-482
-
-
Bartlett, P.L.1
Mendelson, S.2
-
23
-
-
84919793029
-
Large-scale multi-label learning with missing labels
-
H.-F. Yu, P. Jain, and I. S. Dhillon, "Large-scale multi-label learning with missing labels, " in Proc. 21st Int. Conf. Mach. Learn., 2014, pp. 1-9.
-
(2014)
Proc. 21st Int. Conf. Mach. Learn.
, pp. 1-9
-
-
Yu, H.-F.1
Jain, P.2
Dhillon, I.S.3
-
24
-
-
84898966246
-
Learning kernels using local rademacher complexity
-
C. Cortes, M. Kloft, and M. Mohri, "Learning kernels using local rademacher complexity, " in Proc. Adv. Neural Inf. Process. Syst., 2013, pp. 2760-2768.
-
(2013)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 2760-2768
-
-
Cortes, C.1
Kloft, M.2
Mohri, M.3
-
25
-
-
26444592981
-
Local rademacher complexities
-
Aug.
-
P. L. Bartlett, O. Bousquet, and S. Mendelson, "Local rademacher complexities, " Ann. Statist., vol. 3, no. 4, pp. 1497-1537, Aug. 2005.
-
(2005)
Ann. Statist
, vol.3
, Issue.4
, pp. 1497-1537
-
-
Bartlett, P.L.1
Bousquet, O.2
Mendelson, S.3
-
26
-
-
0033905095
-
BoosTexter: A boosting-based system for text categorization
-
May
-
R. E. Schapire and Y. Singer, "BoosTexter: A boosting-based system for text categorization, " Mach. Learn., vol. 39, nos. 2-3, pp. 135-168, May 2000.
-
(2000)
Mach. Learn
, vol.39
, Issue.2-3
, pp. 135-168
-
-
Schapire, R.E.1
Singer, Y.2
-
27
-
-
36849011561
-
Model-shared subspace boosting for multi-label classification
-
R. Yan, J. Tesic, and J. R. Smith, "Model-shared subspace boosting for multi-label classification, " in Proc. 13th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, 2007, pp. 834-843.
-
(2007)
Proc. 13th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining
, pp. 834-843
-
-
Yan, R.1
Tesic, J.2
Smith, J.R.3
-
28
-
-
33947681316
-
ML-KNN: A lazy learning approach to multi-label learning
-
Jul.
-
M.-L. Zhang and Z.-H. Zhou, "ML-KNN: A lazy learning approach to multi-label learning, " Pattern Recognit., vol. 40, no. 7, pp. 2038-2048, Jul. 2007.
-
(2007)
Pattern Recognit
, vol.40
, Issue.7
, pp. 2038-2048
-
-
Zhang, M.-L.1
Zhou, Z.-H.2
-
29
-
-
55349142147
-
An empirical study of lazy multilabel classification algorithms
-
Berlin, Germany: Springer
-
E. Spyromitros, G. Tsoumakas, and I. Vlahavas, "An empirical study of lazy multilabel classification algorithms, " in Artificial Intelligence: Theories, Models and Applications. Berlin, Germany: Springer, 2008, pp. 401-406.
-
(2008)
Artificial Intelligence: Theories, Models and Applications
, pp. 401-406
-
-
Spyromitros, E.1
Tsoumakas, G.2
Vlahavas, I.3
-
30
-
-
79952402835
-
Image annotation by kNN-sparse graph-based label propagation over noisily tagged Web images
-
Feb.
-
J. Tang, R. Hong, S. Yan, T.-S. Chua, G.-J. Qi, and R. Jain, "Image annotation by kNN-sparse graph-based label propagation over noisily tagged Web images, " ACM Trans. Intell. Syst. Technol., vol. 2, no. 2, p. 14, Feb. 2011.
-
(2011)
ACM Trans. Intell. Syst. Technol
, vol.2
, Issue.2
, pp. 14
-
-
Tang, J.1
Hong, R.2
Yan, S.3
Chua, T.-S.4
Qi, G.-J.5
Jain, R.6
-
31
-
-
84943242305
-
Knowledge discovery in multi-label phenotype data
-
Berlin, Germany: Springer
-
A. Clare and R. D. King, "Knowledge discovery in multi-label phenotype data, " in Principles of Data Mining and Knowledge Discovery. Berlin, Germany: Springer, 2001, pp. 42-53.
-
(2001)
Principles of Data Mining and Knowledge Discovery
, pp. 42-53
-
-
Clare, A.1
King, R.D.2
-
32
-
-
52949141834
-
Decision trees for hierarchical multi-label classification
-
Nov.
-
C. Vens, J. Struyf, L. Schietgat, S. Džeroski, and H. Blockeel, "Decision trees for hierarchical multi-label classification, " Mach. Learn., vol. 73, no. 2, pp. 185-214, Nov. 2008.
-
(2008)
Mach. Learn
, vol.73
, Issue.2
, pp. 185-214
-
-
Vens, C.1
Struyf, J.2
Schietgat, L.3
Džeroski, S.4
Blockeel, H.5
-
33
-
-
80053440655
-
Multi-label classification on tree-and DAGstructured hierarchies
-
W. Bi and J. T. Kwok, "Multi-label classification on tree-and DAGstructured hierarchies, " in Proc. 28th Int. Conf. Mach. Learn. (ICML), 2011, pp. 17-24.
-
(2011)
Proc. 28th Int. Conf. Mach. Learn. (ICML)
, pp. 17-24
-
-
Bi, W.1
Kwok, J.T.2
-
34
-
-
0142228873
-
A family of additive online algorithms for category ranking
-
Mar.
-
K. Crammer and Y. Singer, "A family of additive online algorithms for category ranking, " J. Mach. Learn. Res., vol. 3, pp. 1025-1058, Mar. 2003.
-
(2003)
J. Mach. Learn. Res
, vol.3
, pp. 1025-1058
-
-
Crammer, K.1
Singer, Y.2
-
35
-
-
33748366796
-
Multilabel neural networks with applications to functional genomics and text categorization
-
Oct.
-
M.-L. Zhang and Z.-H. Zhou, "Multilabel neural networks with applications to functional genomics and text categorization, " IEEE Trans. Knowl. Data Eng., vol. 18, no. 10, pp. 1338-1351, Oct. 2006.
-
(2006)
IEEE Trans. Knowl. Data Eng
, vol.18
, Issue.10
, pp. 1338-1351
-
-
Zhang, M.-L.1
Zhou, Z.-H.2
-
37
-
-
84916877392
-
Matrix completion for weakly-supervised multi-label image classification
-
Jan.
-
R. Cabral, F. De la Torre, J. P. Costeira, and A. Bernardino, "Matrix completion for weakly-supervised multi-label image classification, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 37, no. 1, pp. 121-135, Jan. 2015.
-
(2015)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.37
, Issue.1
, pp. 121-135
-
-
Cabral, R.1
De La Torre, F.2
Costeira, J.P.3
Bernardino, A.4
-
38
-
-
3042597440
-
Learning multi-label scene classification
-
Sep.
-
M. R. Boutell, J. Luo, X. Shen, and C. M. Brown, "Learning multi-label scene classification, " Pattern Recognit., vol. 37, no. 9, pp. 1757-1771, Sep. 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
-
39
-
-
38049123909
-
Random k-labelsets: An ensemble method for multilabel classification
-
G. Tsoumakas and I. Vlahavas, "Random k-labelsets: An ensemble method for multilabel classification, " in Machine Learning: ECML. Springer, 2007, pp. 406-417.
-
(2007)
Machine Learning: ECML. Springer
, pp. 406-417
-
-
Tsoumakas, G.1
Vlahavas, I.2
-
40
-
-
67049088703
-
Multi-label classification using ensembles of pruned sets
-
Dec.
-
J. Read, B. Pfahringer, and G. Holmes, "Multi-label classification using ensembles of pruned sets, " in Proc. 8th IEEE Int. Conf. Data Mining (ICDM), Dec. 2008, pp. 995-1000.
-
(2008)
Proc. 8th IEEE Int. Conf. Data Mining (ICDM)
, pp. 995-1000
-
-
Read, J.1
Pfahringer, B.2
Holmes, G.3
-
41
-
-
19044382587
-
Round robin classification
-
Mar.
-
J. Fürnkranz, "Round robin classification, " J. Mach. Learn. Res., vol. 2, pp. 721-747, Mar. 2002.
-
(2002)
J. Mach. Learn. Res
, vol.2
, pp. 721-747
-
-
Fürnkranz, J.1
-
42
-
-
51349159085
-
Probability estimates for multiclass classification by pairwise coupling
-
Dec.
-
T.-F. Wu, C.-J. Lin, and R. C. Weng, "Probability estimates for multiclass classification by pairwise coupling, " J. Mach. Learn. Res., vol. 5, pp. 975-1005, Dec. 2004.
-
(2004)
J. Mach. Learn. Res
, vol.5
, pp. 975-1005
-
-
Wu, T.-F.1
Lin, C.-J.2
Weng, R.C.3
-
44
-
-
84959193236
-
Semi-supervised low-rank mapping learning for multi-label classification
-
Jun.
-
L. Jing, L. Yang, Y. Jian, and M. K. Ng, "Semi-supervised low-rank mapping learning for multi-label classification, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2015, pp. 1483-1491.
-
(2015)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 1483-1491
-
-
Jing, L.1
Yang, L.2
Jian, Y.3
Ng, M.K.4
-
45
-
-
77956528679
-
Multi-label prediction via compressed sensing
-
D. Hsu, S. Kakade, J. Langford, and T. Zhang, "Multi-label prediction via compressed sensing, " in Proc. NIPS, vol. 22. 2009, pp. 772-780.
-
(2009)
Proc. NIPS
, vol.22
, pp. 772-780
-
-
Hsu, D.1
Kakade, S.2
Langford, J.3
Zhang, T.4
-
48
-
-
84876940405
-
On the consistency of multi-label learning
-
Jun. /Jul.
-
W. Gao and Z.-H. Zhou, "On the consistency of multi-label learning, " Artif. Intell., vols. 199-200, pp. 22-44, Jun. /Jul. 2013.
-
(2013)
Artif. Intell.
, vol.199-200
, pp. 22-44
-
-
Gao, W.1
Zhou, Z.-H.2
-
49
-
-
84865223006
-
On label dependence and loss minimization in multi-label classification
-
Jul.
-
K. Dembczýnski, W. Waegeman, W. Cheng, and E. Hüllermeier, "On label dependence and loss minimization in multi-label classification, " Mach. Learn., vol. 88, no. 1, pp. 5-45, Jul. 2012.
-
(2012)
Mach. Learn
, vol.88
, Issue.1
, pp. 5-45
-
-
Dembczýnski, K.1
Waegeman, W.2
Cheng, W.3
Hüllermeier, E.4
-
50
-
-
84879055538
-
Self-supervised online metric learning with low rank constraint for scene categorization
-
Aug.
-
Y. Cong, J. Liu, J. Yuan, and J. Luo, "Self-supervised online metric learning with low rank constraint for scene categorization, " IEEE Trans. Image Process., vol. 22, no. 8, pp. 3179-3191, Aug. 2013.
-
(2013)
IEEE Trans. Image Process
, vol.22
, Issue.8
, pp. 3179-3191
-
-
Cong, Y.1
Liu, J.2
Yuan, J.3
Luo, J.4
-
51
-
-
0030106462
-
Semidefinite programming
-
L. Vandenberghe and S. Boyd, "Semidefinite programming, " SIAM Rev., vol. 38, no. 1, pp. 49-95, 1996.
-
(1996)
SIAM Rev
, vol.38
, Issue.1
, pp. 49-95
-
-
Vandenberghe, L.1
Boyd, S.2
-
52
-
-
84866685025
-
Largescale image classification with trace-norm regularization
-
Jun.
-
Z. Harchaoui, M. Douze, M. Paulin, M. Dudik, and J. Malick, "Largescale image classification with trace-norm regularization, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2012, pp. 3386-3393.
-
(2012)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)
, pp. 3386-3393
-
-
Harchaoui, Z.1
Douze, M.2
Paulin, M.3
Dudik, M.4
Malick, J.5
-
53
-
-
78650977486
-
Image tag refinement towards low-rank, content-tag prior and error sparsity
-
G. Zhu, S. Yan, and Y. Ma, "Image tag refinement towards low-rank, content-tag prior and error sparsity, " in Proc. Int. Conf. Multimedia, 2010, pp. 461-470.
-
(2010)
Proc. Int. Conf. Multimedia
, pp. 461-470
-
-
Zhu, G.1
Yan, S.2
Ma, Y.3
-
54
-
-
79957957723
-
Fixed point and Bregman iterative methods for matrix rank minimization
-
Jun.
-
S. Ma, D. Goldfarb, and L. Chen, "Fixed point and Bregman iterative methods for matrix rank minimization, " Math. Program., vol. 128, no. 1, pp. 321-353, Jun. 2011.
-
(2011)
Math. Program
, vol.128
, Issue.1
, pp. 321-353
-
-
Ma, S.1
Goldfarb, D.2
Chen, L.3
-
55
-
-
77951291046
-
A singular value thresholding algorithm for matrix completion
-
J.-F. Cai, E. J. Candès, and Z. Shen, "A singular value thresholding algorithm for matrix completion, " SIAM J. Optim., vol. 20, no. 4, pp. 1956-1982, 2010.
-
(2010)
SIAM J. Optim
, vol.20
, Issue.4
, pp. 1956-1982
-
-
Cai, J.-F.1
Candès, E.J.2
Shen, Z.3
-
56
-
-
78049448383
-
An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems
-
K. C. Toh and S. Yun, "An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems, " Pacific J. Optim., vol. 6, nos. 615-640, p. 15, 2010.
-
(2010)
Pacific J. Optim
, vol.6
, Issue.615-640
, pp. 15
-
-
Toh, K.C.1
Yun, S.2
-
57
-
-
85014561619
-
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
-
A. Beck and M. Teboulle, "A fast iterative shrinkage-thresholding algorithm for linear inverse problems, " SIAM J. Imag. Sci., vol. 2, no. 1, pp. 183-202, 2009.
-
(2009)
SIAM J. Imag. Sci
, vol.2
, Issue.1
, pp. 183-202
-
-
Beck, A.1
Teboulle, M.2
-
58
-
-
71149103464
-
An accelerated gradient method for trace norm minimization
-
S. Ji and J. Ye, "An accelerated gradient method for trace norm minimization, " in Proc. 26th Annu. Int. Conf. Mach. Learn., 2009, pp. 457-464.
-
(2009)
Proc. 26th Annu. Int. Conf. Mach. Learn.
, pp. 457-464
-
-
Ji, S.1
Ye, J.2
-
59
-
-
84890351391
-
Reduced rank regression via adaptive nuclear norm penalization
-
Sep.
-
K. Chen, H. Dong, and K.-S. Chan, "Reduced rank regression via adaptive nuclear norm penalization, " Biometrika, vol. 100, no. 4, pp. 901-920, Sep. 2013.
-
(2013)
Biometrika
, vol.100
, Issue.4
, pp. 901-920
-
-
Chen, K.1
Dong, H.2
Chan, K.-S.3
-
60
-
-
84919793228
-
A proximal stochastic gradient method with progressive variance reduction
-
L. Xiao and T. Zhang, "A proximal stochastic gradient method with progressive variance reduction, " SIAM J. Optim., vol. 24, no. 4, pp. 2057-2075, 2014.
-
(2014)
SIAM J. Optim
, vol.24
, Issue.4
, pp. 2057-2075
-
-
Xiao, L.1
Zhang, T.2
-
63
-
-
77956522919
-
Bayes optimal multilabel classification via probabilistic classifier chains
-
W. Cheng, E. Hüllermeier, and K. J. Dembczynski, "Bayes optimal multilabel classification via probabilistic classifier chains, " in Proc. 27th Int. Conf. Mach. Learn. (ICML), 2010, pp. 279-286.
-
(2010)
Proc. 27th Int. Conf. Mach. Learn. (ICML)
, pp. 279-286
-
-
Cheng, W.1
Hüllermeier, E.2
Dembczynski, K.J.3
-
64
-
-
85162517491
-
An exact algorithm for f-measure maximization
-
K. J. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, "An exact algorithm for f-measure maximization, " in Proc. Adv. Neural Inf. Process. Syst., 2011, pp. 1404-1412.
-
(2011)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 1404-1412
-
-
Dembczynski, K.J.1
Waegeman, W.2
Cheng, W.3
Hüllermeier, E.4
-
65
-
-
84919784225
-
Condensed filter tree for cost-sensitive multilabel classification
-
C.-L. Li and H.-T. Lin, "Condensed filter tree for cost-sensitive multilabel classification, " in Proc. 31st Int. Conf. Mach. Learn. (ICML), 2014, pp. 423-431.
-
(2014)
Proc. 31st Int. Conf. Mach. Learn. (ICML)
, pp. 423-431
-
-
Li, C.-L.1
Lin, H.-T.2
-
66
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
Jan.
-
J. Demšar, "Statistical comparisons of classifiers over multiple data sets, " J. Mach. Learn. Res., vol. 7, pp. 1-30, Jan. 2006.
-
(2006)
J. Mach. Learn. Res
, vol.7
, pp. 1-30
-
-
Demšar, J.1
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