-
1
-
-
84866039840
-
Pattern classification of dermoscopy images: A perceptually uniform model
-
2013
-
Qaisar Abbas, M. E. Celebi, Carmen Serrano, Irene Fondón, and Guangzhi Ma. 2013. Pattern classification of dermoscopy images: A perceptually uniform model. Pattern Recognition 46, 1 (2013), 86-97.
-
(2013)
Pattern Recognition
, vol.46
, Issue.1
, pp. 86-97
-
-
Abbas, Q.1
Celebi, M.E.2
Serrano, C.3
Fondón, I.4
Ma, G.5
-
5
-
-
77954578177
-
Evolving multi-label classification rules with gene expression programming: A preliminary study
-
Springer, Berlin, Chapter 2
-
Jose L. Ávila, Eva. Gibaja, and Sebastián Ventura. 2010. Evolving multi-label classification rules with gene expression programming: A preliminary study. In Hybrid Artificial Intelligence Systems. Lecture Notes in Computer Science, Vol. 6077. Springer, Berlin, Chapter 2, 9-16.
-
(2010)
Hybrid Artificial Intelligence Systems. Lecture Notes in Computer Science
, vol.6077
, pp. 9-16
-
-
Ávila, J.L.1
Gibaja, E.2
Ventura, S.3
-
6
-
-
79951839130
-
A gene expression programming algorithm for multi-label classification
-
Jose L. Ávila, Eva Gibaja, Amelia Zafra, and Se Ventura. 2011. A gene expression programming algorithm for multi-label classification. Journal of Multiple-Valued Logic and Soft Computing 17, 2-3 (2011), 183-206.
-
(2011)
Journal of Multiple-Valued Logic and Soft Computing
, vol.17
, Issue.2-3
, pp. 183-206
-
-
Ávila, J.L.1
Gibaja, E.2
Zafra, A.3
Ventura, S.4
-
8
-
-
0041876117
-
Matching words and pictures
-
Kobus Barnard, Pinar Duygulu, Nando de Freitas, David Forsyth, David Blei, and Michael I. Jordan. 2003. Matching words and pictures. Journal of Machine Learning Research 3 (2003), 1107-1135.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1107-1135
-
-
Barnard, K.1
Duygulu, P.2
De Freitas, N.3
Forsyth, D.4
Blei, D.5
Jordan, M.I.6
-
9
-
-
33645323768
-
Hierarchical multi-label prediction of gene function
-
(Oxford, England), April
-
Zafer Barutcuoglu, Robert E. Schapire, and Olga G. Troyanskaya. 2006. Hierarchical multi-label prediction of gene function. Bioinformatics (Oxford, England) 22, 7 (April 2006), 830-836.
-
(2006)
Bioinformatics
, vol.22
, Issue.7
, pp. 830-836
-
-
Barutcuoglu, Z.1
Schapire, R.E.2
Troyanskaya, O.G.3
-
10
-
-
84894097561
-
Sentence level news emotion analysis in fuzzy multi-label classification framework
-
Plaban K. Bhowmick, Anupam Basu, Pabitra Mitra, and Abhisek Prasad. 2010. Sentence level news emotion analysis in fuzzy multi-label classification framework. Research in Computer Science, Special Issue: Natural Language Processing and Its Applications 46 (2010), 143-154.
-
(2010)
Research in Computer Science, Special Issue: Natural Language Processing and Its Applications
, vol.46
, pp. 143-154
-
-
Bhowmick, P.K.1
Basu, A.2
Mitra, P.3
Prasad, A.4
-
11
-
-
0002343269
-
Top-down induction of clustering trees
-
Morgan Kaufmann, San Francisco, CA
-
Hendrik Blockeel, Luc De Raedt, and Jan Ramon. 1998. Top-down induction of clustering trees. In Proceedings of the 15th International Conference on Machine Learning (ICML'98). Morgan Kaufmann, San Francisco, CA, 55-63.
-
(1998)
Proceedings of the 15th International Conference on Machine Learning (ICML'98)
, pp. 55-63
-
-
Blockeel, H.1
De Raedt, L.2
Ramon, J.3
-
12
-
-
33750303563
-
Decision trees for hierarchical multilabel classification: A case study in functional genomics
-
Hendrik Blockeel, Leander Schietgat, Jan Struyf, Sašo Džeroski, and Amanda Clare. 2006. Decision trees for hierarchical multilabel classification: A case study in functional genomics. In Proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD (Lecture Notes in Computer Science), Vol. 4213. 18-29.
-
(2006)
Proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD (Lecture Notes in Computer Science)
, vol.4213
, pp. 18-29
-
-
Blockeel, H.1
Schietgat, L.2
Struyf, J.3
Džeroski, S.4
Clare, A.5
-
13
-
-
3042597440
-
Learning multi-label scene classification
-
Sept
-
Matthew R. Boutell, Jiebo Luo, Xipeng Shen, and Christopher M. Brown. 2004. Learning multi-label scene classification. Pattern Recognition 37, 9 (Sept. 2004), 1757-1771.
-
(2004)
Pattern Recognition
, vol.37
, Issue.9
, pp. 1757-1771
-
-
Boutell, M.R.1
Luo, J.2
Shen, X.3
Brown, C.M.4
-
16
-
-
69549104852
-
On active learning in multi-label classification
-
Myra Spiliopoulou, Rudolf Kruse, Christian Borgelt, Andreas Nürnberger, and Wolfgang Gaul (Eds.) Springer, Berlin
-
Klaus Brinker. 2006. On active learning in multi-label classification. In From Data and Information Analysis to Knowledge Engineering, Myra Spiliopoulou, Rudolf Kruse, Christian Borgelt, Andreas Nürnberger, and Wolfgang Gaul (Eds.). Springer, Berlin, 206-213.
-
(2006)
From Data and Information Analysis to Knowledge Engineering
, pp. 206-213
-
-
Brinker, K.1
-
17
-
-
79951755700
-
A unified model for multilabel classification and ranking
-
IOS Press, Amsterdam, The Netherlands
-
Klaus Brinker, Johannes Fürnkranz, and Eyke Hüllermeier. 2006. A unified model for multilabel classification and ranking. In Proceedings of the 17th European Conference on Artificial Intelligence. IOS Press, Amsterdam, The Netherlands, 489-493.
-
(2006)
Proceedings of the 17th European Conference on Artificial Intelligence
, pp. 489-493
-
-
Brinker, K.1
Fürnkranz, J.2
Hüllermeier, E.3
-
23
-
-
49749095082
-
Document transformation for multi-label feature selection in text categorization
-
Weizhu Chen, Jun Yan, Benyu Zhang, Zheng Chen, and Qiang Yang. 2007. Document transformation for multi-label feature selection in text categorization, In Proceedings of the IEEE International Conference on Data Mining. 451-456.
-
(2007)
Proceedings of the IEEE International Conference on Data Mining
, pp. 451-456
-
-
Chen, W.1
Yan, J.2
Zhang, B.3
Chen, Z.4
Yang, Q.5
-
24
-
-
68949141664
-
Combining instance-based learning and logistic regression for multilabel classification
-
Sept 2009
-
Weiwei Cheng and Eyke Hüllermeier. 2009. Combining instance-based learning and logistic regression for multilabel classification. Machine Learning 76(2-3) (Sept. 2009), 211-225.
-
(2009)
Machine Learning
, vol.76
, Issue.2-3
, pp. 211-225
-
-
Cheng, W.1
Hüllermeier, E.2
-
25
-
-
80054948724
-
Incorporating label dependency into the binary relevance framework for multi-label classification
-
Everton Alvares Cherman, Jean Metz, and Maria Carolina Monard. 2012. Incorporating label dependency into the binary relevance framework for multi-label classification. Expert Systems Applications 39, 2 (2012), 1647-1655.
-
(2012)
Expert Systems Applications
, vol.39
, Issue.2
, pp. 1647-1655
-
-
Cherman, E.A.1
Metz, J.2
Carolina Monard, M.3
-
26
-
-
79953316878
-
ILoc-Euk: A multi-label classifier for predicting the subcellular localization of singleplex and multiplex eukaryotic proteins
-
2011
-
Kuo-Chen Chou, Zhi-Cheng Wu, and Xuan Xiao. 2011. iLoc-Euk: A multi-label classifier for predicting the subcellular localization of singleplex and multiplex eukaryotic proteins. PLoS ONE 6, 3 (2011), e18258.
-
(2011)
PLoS ONE
, vol.6
, Issue.3
, pp. e18258
-
-
Chou, K.-C.1
Wu, Z.-C.2
Xiao, X.3
-
27
-
-
79960320262
-
Multi-label text categorization using a probabilistic neural network
-
2009
-
Patrick Marques Ciarelli, Elias Oliveira, Claudine Badue, and Alberto Ferreira De Souza. 2009. Multi-label text categorization using a probabilistic neural network. International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM) 1 (2009), 133-144.
-
(2009)
International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM)
, vol.1
, pp. 133-144
-
-
Marques Ciarelli, P.1
Oliveira, E.2
Badue, C.3
De Souza, A.F.4
-
30
-
-
34248573429
-
Grouping of TRIZ inventive principles to facilitate automatic patent classification
-
He Cong and Loh H. Tong. 2008. Grouping of TRIZ inventive principles to facilitate automatic patent classification. Expert Systems with Applications 34, 1 (2008), 788-795.
-
(2008)
Expert Systems with Applications
, vol.34
, Issue.1
, pp. 788-795
-
-
Cong, H.1
Tong, L.H.2
-
31
-
-
0142228873
-
A family of additive online algorithms for category ranking
-
March
-
Koby Crammer and Yoram Singer. 2003. A family of additive online algorithms for category ranking. Journal of Machine Learning Research 3 (March 2003), 1025-1058.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1025-1058
-
-
Crammer, K.1
Singer, Y.2
-
35
-
-
84865223006
-
On label dependence and loss minimization in multi-label classification
-
2012
-
Krzysztof Dembczyński, Willem Waegeman, Weiwei Cheng, and Eyke Hüllermeier. 2012. On label dependence and loss minimization in multi-label classification. Machine Learning 88, 1 (2012), 5-45.
-
(2012)
Machine Learning
, vol.88
, Issue.1
, pp. 5-45
-
-
Dembczyński, K.1
Waegeman, W.2
Cheng, W.3
Hüllermeier, E.4
-
37
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
Janez Demšar. 2006. Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research 7 (2006), 1-30.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1-30
-
-
Demšar, J.1
-
38
-
-
70350370227
-
An empirical study of multi-label learning methods for video annotation
-
IEEE Computer Society, Los Alamitos, CA
-
Anastasios Dimou, Grigorios Tsoumakas, Vasileios Mezaris, Ioannis Kompatsiaris, and Ioannis Vlahavas. 2009. An empirical study of multi-label learning methods for video annotation. In Proceedings of the InternationalWorkshop on Content-Based Multimedia Indexing (CBMI'09). IEEE Computer Society, Los Alamitos, CA, 19-24.
-
(2009)
Proceedings of the InternationalWorkshop on Content-Based Multimedia Indexing (CBMI'09)
, pp. 19-24
-
-
Dimou, A.1
Tsoumakas, G.2
Mezaris, V.3
Kompatsiaris, I.4
Vlahavas, I.5
-
41
-
-
84937572644
-
Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary
-
Pinar Duygulu, Kobus Barnard, Nando de Freitas, and David Forsyth. 2002. Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. In Proceedings of the 7th European Conference on Computer Vision (ECCV'02) (Lecture Notes in Computer Science), Vol. 2353. 97-112.
-
(2002)
Proceedings of the 7th European Conference on Computer Vision (ECCV'02) (Lecture Notes in Computer Science)
, vol.2353
, pp. 97-112
-
-
Duygulu, P.1
Barnard, K.2
De Freitas, N.3
Forsyth, D.4
-
45
-
-
84874044012
-
Simultaneously combining multi-view multi-label learning with maximum margin classification
-
Zheng Fang and Zhongfei (Mark) Zhang. 2012. Simultaneously combining multi-view multi-label learning with maximum margin classification. In ICDM. IEEE Computer Society.
-
(2012)
ICDM IEEE Computer Society
-
-
Fang, Z.1
Zhang, Z.2
-
46
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
1997
-
Yoav Freund and Robert E. Schapire. 1997. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer System Sciences 55, 1 (1997), 119-139.
-
(1997)
Journal of Computer System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
47
-
-
52949105710
-
Multilabel classification via calibrated label ranking
-
2008
-
Johannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía, and Klaus Brinker. 2008. Multilabel classification via calibrated label ranking. Machine Learning 73(2) (2008), 133-153.
-
(2008)
Machine Learning
, vol.73
, Issue.2
, pp. 133-153
-
-
Fürnkranz, J.1
Hüllermeier, E.2
Mencía, E.L.3
Brinker, K.4
-
53
-
-
76749092270
-
The WEKA data mining software: An update
-
2009
-
Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, and Ian H. Witten. 2009. The WEKA data mining software: An update. SIGKDD Explorations 11(1) (2009).
-
(2009)
SIGKDD Explorations
, vol.11
, Issue.1
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
54
-
-
84865269277
-
Multi-instance multi-label learning based on Gaussian process with application to visual mobile robot navigation
-
Jianjun He, Hong Gu, and Zhelong Wang. 2012. Multi-instance multi-label learning based on Gaussian process with application to visual mobile robot navigation. Information Sciences 190 (2012), 162-177.
-
(2012)
Information Sciences
, vol.190
, Issue.2012
, pp. 162-177
-
-
He, J.1
Gu, H.2
Wang, Z.3
-
55
-
-
77956528679
-
Multi-label prediction via compressed sensing
-
Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta (Eds.)
-
Daniel Hsu, Sham Kakade, John Langford, and Tong Zhang. 2009. Multi-label prediction via compressed sensing. In Advances in Neural Information Processing Systems 22 (NIPS), Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta (Eds.). 772-780.
-
(2009)
Advances in Neural Information Processing Systems 22 (NIPS)
, pp. 772-780
-
-
Hsu, D.1
Kakade, S.2
Langford, J.3
Zhang, T.4
-
56
-
-
43449132708
-
Tissue classification using cluster features for lesion detection in digital cervigrams
-
Xiaolei Huang, Wei Wang, Zhiyun Xue, Sameer Antani, L. Rodney Long, and Jose Jeronimo. 2008. Tissue classification using cluster features for lesion detection in digital cervigrams. In Proceedings SPIE Medical Imaging.
-
(2008)
Proceedings SPIE Medical Imaging
-
-
Huang, X.1
Wang, W.2
Xue, Z.3
Antani, S.4
Rodney Long, L.5
Jeronimo, J.6
-
57
-
-
52949143827
-
Label ranking by learning pairwise preferences
-
2008
-
Eyke Hüllermeier, Johannes Fürnkranz, Weiwei Cheng, and Klaus Brinker. 2008. Label ranking by learning pairwise preferences. Artificial Intelligence 172 (2008), 1897-1916.
-
(2008)
Artificial Intelligence
, vol.172
, pp. 1897-1916
-
-
Hüllermeier, E.1
Fürnkranz, J.2
Cheng, W.3
Brinker, K.4
-
59
-
-
77953216761
-
A shared-subspace learning framework for multilabel classification
-
2010
-
Shuiwang Ji, Lei Tang, Shipeng Yu, and Jieping Ye. 2010. A shared-subspace learning framework for multilabel classification. ACM Transactions on Knowledge Discovery from Data 4, 2 (2010), 1-29.
-
(2010)
ACM Transactions on Knowledge Discovery from Data
, vol.4
, Issue.2
, pp. 1-29
-
-
Ji, S.1
Tang, L.2
Yu, S.3
Ye, J.4
-
62
-
-
84912127051
-
Identification of the dual action antihypertensive drugs using TFS-based support vector machines
-
2009
-
Kentaro Kawai and Yoshimasa Takahashi. 2009. Identification of the dual action antihypertensive drugs using TFS-based support vector machines. Chem-Bio Informatics Journal 4 (2009), 44-51.
-
(2009)
Chem-Bio Informatics Journal
, vol.4
, pp. 44-51
-
-
Kawai, K.1
Takahashi, Y.2
-
63
-
-
80053956207
-
-
PhD Dissertation. Jǒzef Stefan International Postgraduate School
-
Dragi Kocev. 2012. Ensembles for Predicting Structured Outputs. PhD Dissertation. Jǒzef Stefan International Postgraduate School.
-
(2012)
Ensembles for Predicting Structured Outputs
-
-
Kocev, D.1
-
64
-
-
38049132551
-
Ensembles ofmulti-objective decision trees
-
Springer-Verlag, Berlin
-
DragiKocev, Celine Vens, Jan Struyf, and SašoDžeroski. 2007. Ensembles ofmulti-objective decision trees. In Proceedings of the 18th European Conference on Machine Learning (ECML'07). Springer-Verlag, Berlin, 624-631.
-
(2007)
Proceedings of the 18th European Conference on Machine Learning (ECML'07)
, pp. 624-631
-
-
Kocev, D.1
Vens, C.2
Struyf, J.3
Džeroski, S.4
-
65
-
-
84858060487
-
Multi-relational matrix factorization using Bayesian personalized ranking for social network data
-
ACM, New York, NY
-
Artus Krohn-Grimberghe, Lucas Drumond, Christoph Freudenthaler, and Lars Schmidt-Thieme. 2012. Multi-relational matrix factorization using Bayesian personalized ranking for social network data. In Proceedings of the 5th ACMInternational Conference onWeb Search and Data Mining (WSDM'12). ACM, New York, NY, 173-182.
-
(2012)
Proceedings of the 5th ACMInternational Conference OnWeb Search and Data Mining (WSDM'12)
, pp. 173-182
-
-
Krohn-Grimberghe, A.1
Drumond, L.2
Freudenthaler, C.3
Schmidt-Thieme, L.4
-
69
-
-
84868154922
-
-
Retrieved from
-
Ken Lang. 2008. The 20 Newsgroup Dataset. Retrieved from http://people.csail.mit.edu/jrennie/20Newsgroups/.
-
(2008)
The 20 Newsgroup Dataset
-
-
Lang, K.1
-
70
-
-
85206046168
-
-
Retrieved from
-
Pedro Larrañaga. 2010. Multi-label Classification. Retrieved from http://www.dynamopro.org/IMG/pdf/tamida2010-larranaga.pdf.
-
(2010)
Multi-label Classification
-
-
Larrañaga, P.1
-
73
-
-
84876811202
-
RCV1: A new benchmark collection for text categorization research
-
2005
-
David D. Lewis, Yiming Yang, Tony G. Rose, and Fan Li. 2005. RCV1: A new benchmark collection for text categorization research. Journal of Machine Learning Research 5 (2005), 361-397.
-
(2005)
Journal of Machine Learning Research
, vol.5
, pp. 361-397
-
-
Lewis, D.D.1
Yang, Y.2
Rose, T.G.3
Li, F.4
-
74
-
-
84859209611
-
A model for multilabel classification and ranking of learning objects
-
2012
-
Vivian F. López, Fernando de la Prieta, Mitsunori Ogihara, and Ding Ding Wong. 2012. A model for multilabel classification and ranking of learning objects. Expert Systems with Applications 39, 10 (2012), 8878-8884.
-
(2012)
Expert Systems with Applications
, vol.39
, Issue.10
, pp. 8878-8884
-
-
López, V.F.1
De La Prieta, F.2
Ogihara, M.3
Wong, D.D.4
-
75
-
-
84874008094
-
An evaluation of efficient multilabel classification algorithms for large-scale problems in the legal domain
-
Alexander Hinneburg (Ed.)
-
Eneldo Loza and Johannes Fürnkranz. 2007. An evaluation of efficient multilabel classification algorithms for large-scale problems in the legal domain. In Proceedings of the LWA 2007: Lernen -Wissen - Adaption, Alexander Hinneburg (Ed.). 126-132.
-
(2007)
Proceedings of the LWA 2007: Lernen -Wissen - Adaption
, pp. 126-132
-
-
Loza, E.1
Fürnkranz, J.2
-
82
-
-
84861617363
-
An extensive experimental comparison of methods for multi-label learning
-
2012
-
Gjorgji Madjarov, Dragi Kocev, Dejan Gjorgjevikj, and Sašo Džeroski. 2012. An extensive experimental comparison of methods for multi-label learning. Pattern Recognition 45, 9 (2012), 3084-3104.
-
(2012)
Pattern Recognition
, vol.45
, Issue.9
, pp. 3084-3104
-
-
Madjarov, G.1
Kocev, D.2
Gjorgjevikj, D.3
Džeroski, S.4
-
83
-
-
33845310880
-
The study of drug-reaction relationships using global optimization techniques
-
Feb 2007
-
M. A. Mammadov, A. M. Rubinov, and J. Yearwood. 2007. The study of drug-reaction relationships using global optimization techniques. Optimization Methods Software 22 (Feb. 2007), 99-126.
-
(2007)
Optimization Methods Software
, vol.22
, pp. 99-126
-
-
Mammadov, M.A.1
Rubinov, A.M.2
Yearwood, J.3
-
88
-
-
85206059442
-
-
MLKD.Retrieved from
-
MLKD. 2012.MLKD-Multilabel Library.Retrieved from http://www.citeulike.org/group/7105/tag/multilabel.
-
(2012)
MLKD-Multilabel Library
-
-
-
94
-
-
77953028348
-
Classification of aeronautics system health and safety documents
-
2009
-
N. Oza, J. P. Castle, and J. Stutz. 2009. Classification of aeronautics system health and safety documents. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 39, 6 (2009), 670-680.
-
(2009)
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
, vol.39
, Issue.6
, pp. 670-680
-
-
Oza, N.1
Castle, J.P.2
Stutz, J.3
-
95
-
-
70350446810
-
Improving multilabel analysis of music titles: A large-scale validation of the correction approach
-
2009
-
François Pachet and Pierre Roy. 2009. Improving multilabel analysis of music titles: A large-scale validation of the correction approach. IEEE Transactions on Audio, Speech, and Language Processing 17, 2 (2009), 335-343.
-
(2009)
IEEE Transactions on Audio, Speech, and Language Processing
, vol.17
, Issue.2
, pp. 335-343
-
-
Pachet, F.1
Roy, P.2
-
97
-
-
0036670786
-
Data mining with an ant colony optimization algorithm
-
2002
-
R. S. Parpinelli, H. S. Lopes, and A. A Freitas. 2002. Data mining with an ant colony optimization algorithm. IEEE Transactions on Evolutionary Computation 6, 4 (2002), 321-332.
-
(2002)
IEEE Transactions on Evolutionary Computation
, vol.6
, Issue.4
, pp. 321-332
-
-
Parpinelli, R.S.1
Lopes, H.S.2
Freitas, A.A.3
-
98
-
-
80555140075
-
Scikit-learn: Machine learning in python
-
2011
-
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, and Édouard Duchesnay. 2011. Scikit-learn: Machine learning in python. Journal of Machine Learning Research 12 (2011), 2825-2830.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2825-2830
-
-
Pedregosa, F.1
Varoquaux, G.2
Gramfort, A.3
Michel, V.4
Thirion, B.5
Grisel, O.6
Blondel, M.7
Prettenhofer, P.8
Weiss, R.9
Dubourg, V.10
Vanderplas, J.11
Passos, A.12
Cournapeau, D.13
Brucher, M.14
Perrot, M.15
Duchesnay É.16
-
99
-
-
85031008452
-
A shared task involving multi-label classification of clinical free text
-
J. P. Pestian, C. Brew, P. M. Matykiewicz, D. J. Hovermale, N. Johnson, K. B. Cohen, and W. Duch. 2007. A shared task involving multi-label classification of clinical free text. In Proceedings of ACL BioNLP. 97-104.
-
(2007)
Proceedings of ACL BioNLP
, pp. 97-104
-
-
Pestian, J.P.1
Brew, C.2
Matykiewicz, P.M.3
Hovermale, D.J.4
Johnson, N.5
Cohen, K.B.6
Duch, W.7
-
101
-
-
37849015906
-
Correlative multi-label video annotation
-
ACM, New York, NY
-
Guo J. Qi, Xian S. Hua, Yong Rui, Jinhui Tang, Tao Mei, and Hong J. Zhang. 2007. Correlative multi-label video annotation. In Proceedings of the 15th International Conference on Multimedia (MULTIMEDIA'07). ACM, New York, NY, 17-26.
-
(2007)
Proceedings of the 15th International Conference on Multimedia (MULTIMEDIA'07)
, pp. 17-26
-
-
Qi, G.J.1
Hua, X.S.2
Rui, Y.3
Tang, J.4
Mei, T.5
Zhang, H.J.6
-
102
-
-
69549086366
-
Two-dimensionalmultilabel active learning with an efficient online adaptationmodel for image classification
-
2009
-
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, and Hong-Jiang Zhang. 2009. Two-dimensionalmultilabel active learning with an efficient online adaptationmodel for image classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 31, 10 (2009), 1880-1897.
-
(2009)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.31
, Issue.10
, pp. 1880-1897
-
-
Qi, G.-J.1
Hua, X.-S.2
Rui, Y.3
Tang, J.4
Zhang, H.-J.5
-
104
-
-
36049012235
-
A tree-projection-based algorithm for multi-label recurrent-item associative-classification rule generation
-
2008
-
Rafal Rak, Lukasz Kurgan, and Marek Reformat. 2008. A tree-projection-based algorithm for multi-label recurrent-item associative-classification rule generation. Data & Knowledge Engineering 64, 1 (2008), 171-197.
-
(2008)
Data & Knowledge Engineering
, vol.64
, Issue.1
, pp. 171-197
-
-
Rak, R.1
Kurgan, L.2
Reformat, M.3
-
110
-
-
84865207305
-
Scalable and efficient multi-label classification for evolving data streams
-
2012
-
Jesse Read, Albert Bifet, Geoff Holmes, and Bernhard Pfahringer. 2012. Scalable and efficient multi-label classification for evolving data streams. Machine Learning 88, 1 (2012), 243-272.
-
(2012)
Machine Learning
, vol.88
, Issue.1
, pp. 243-272
-
-
Read, J.1
Bifet, A.2
Holmes, G.3
Pfahringer, B.4
-
111
-
-
67049088703
-
Multi-label classification using ensembles of pruned sets
-
IEEE Computer Society, Washington, DC
-
Jesse Read, Bernhard Pfahringer, and Geoff Holmes. 2008. Multi-label classification using ensembles of pruned sets. In Proceedings of the 2008 8th IEEE International Conference on Data Mining (ICDM'08). IEEE Computer Society, Washington, DC, 995-1000.
-
(2008)
Proceedings of the 2008 8th IEEE International Conference on Data Mining (ICDM'08)
, pp. 995-1000
-
-
Read, J.1
Pfahringer, B.2
Holmes, G.3
-
112
-
-
83155175374
-
Classifier chains for multi-label classification
-
2011
-
Jesse Read, Bernhard Pfahringer, Geoff Holmes, and Eibe Frank. 2011. Classifier chains for multi-label classification. Machine Learning 85, 3 (2011), 1-27.
-
(2011)
Machine Learning
, vol.85
, Issue.3
, pp. 1-27
-
-
Read, J.1
Pfahringer, B.2
Holmes, G.3
Frank, E.4
-
113
-
-
84904195795
-
Ensemble methods for multi-label classification
-
Nov. 2014
-
Lior Rokach, Alon Schclar, and Ehud Itach. 2014. Ensemble methods for multi-label classification. Expert Systems Applications 41, 16 (Nov. 2014), 7507-7523.
-
(2014)
Expert Systems Applications
, vol.41
, Issue.16
, pp. 7507-7523
-
-
Rokach, L.1
Schclar, A.2
Itach, E.3
-
114
-
-
84865237508
-
Statistical topic models for multi-label document classification
-
2012
-
Timothy Rubin, America Chambers, Padhraic Smyth, and Mark Steyvers. 2012. Statistical topic models for multi-label document classification. Machine Learning 88, 1 (2012), 157-208.
-
(2012)
Machine Learning
, vol.88
, Issue.1
, pp. 157-208
-
-
Rubin, T.1
Chambers, A.2
Smyth, P.3
Steyvers, M.4
-
115
-
-
0033281701
-
Improved boosting algorithms using confidence-rated predictions
-
1999
-
Robert E. Schapire and Yoram Singer. 1999. Improved boosting algorithms using confidence-rated predictions. Machine Learning 37(3) (1999), 297-336.
-
(1999)
Machine Learning
, vol.37
, Issue.3
, pp. 297-336
-
-
Schapire, R.E.1
Singer, Y.2
-
116
-
-
0033905095
-
BoosTexter: A boosting-based system for text categorization
-
2000
-
Robert E. Schapire and Yoram Singer. 2000. BoosTexter: A boosting-based system for text categorization. Machine Learning 39, 2/3 (2000), 135-168.
-
(2000)
Machine Learning
, vol.39
, Issue.2-3
, pp. 135-168
-
-
Schapire, R.E.1
Singer, Y.2
-
117
-
-
0002442796
-
Machine learning in automated text categorization
-
March 2002
-
Fabrizio Sebastiani. 2002. Machine learning in automated text categorization. ACM Computing Survey 34, 1 (March 2002), 1-47.
-
(2002)
ACM Computing Survey
, vol.34
, Issue.1
, pp. 1-47
-
-
Sebastiani, F.1
-
118
-
-
85018089791
-
An improved boosting algorithm and its application to text categorization
-
ACM, New York, NY
-
Fabrizio Sebastiani, Alessandro Sperduti, and Nicola Valdambrini. 2000. An improved boosting algorithm and its application to text categorization. In Proceedings of the 9th International Conference on Information and Knowledge Management (CIKM'00). ACM, New York, NY, 78-85.
-
(2000)
Proceedings of the 9th International Conference on Information and Knowledge Management (CIKM'00)
, pp. 78-85
-
-
Sebastiani, F.1
Sperduti, A.2
Valdambrini, N.3
-
119
-
-
80052397506
-
On the stratification of multilabel data
-
Konstantinos Sechidis, Grigorios Tsoumakas, and Ioannis P. Vlahavas. 2011. On the stratification of multilabel data. In Proceedings of the Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD (part III) (Lecture Notes in Computer Science), Vol. 6913. 145-158.
-
(2011)
Proceedings of the Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD (Part III) (Lecture Notes in Computer Science)
, vol.6913
, pp. 145-158
-
-
Sechidis, K.1
Tsoumakas, G.2
Vlahavas, I.P.3
-
120
-
-
84878305264
-
Symptom selection for multi-label data of inquiry diagnosis in traditional Chinese medicine
-
2010
-
Huan Shao, GuoZheng Li, GuoPing Liu, and YiQin Wang. 2010. Symptom selection for multi-label data of inquiry diagnosis in traditional Chinese medicine. Science China Information Sciences 1 (2010), 1-13.
-
(2010)
Science China Information Sciences
, vol.1
, pp. 1-13
-
-
Shao, H.1
Li, G.2
Liu, G.3
Wang, Y.4
-
121
-
-
58149151266
-
TextonBoost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context
-
2009
-
Jamie Shotton, JohnWinn, Carsten Rother, and Antonio Criminisi. 2009. TextonBoost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context. International Journal of Computer Vision 81 (2009), 2-23.
-
(2009)
International Journal of Computer Vision
, vol.81
, pp. 2-23
-
-
Shotton, J.1
Carsten Rother, J.2
Criminisi, A.3
-
123
-
-
34547172608
-
The challenge problem for automated detection of 101 semantic concepts in multimedia
-
Cees G. M. Snoek, Marcel Worring, Jan C. van Gemert, Jan-Mark Geusebroek, and Arnold W. M. Smeulders. 2006. The challenge problem for automated detection of 101 semantic concepts in multimedia. In Proceedings of ACM Multimedia. 421-430.
-
(2006)
Proceedings of ACM Multimedia
, pp. 421-430
-
-
Snoek, C.G.M.1
Worring, M.2
Van Gemert, J.C.3
Geusebroek, J.-M.4
Smeulders, A.W.M.5
-
124
-
-
77952636818
-
Classification of complex information: Inference of co-occurring affective states from their expressions in speech
-
2010
-
Tal Sobol-Shikler and Peter Robinson. 2010. Classification of complex information: Inference of co-occurring affective states from their expressions in speech. IEEE Transactions on Pattern Analysis and Machine Intelligence 32, 7 (2010), 1284-1297.
-
(2010)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.32
, Issue.7
, pp. 1284-1297
-
-
Sobol-Shikler, T.1
Robinson, P.2
-
125
-
-
79951867458
-
Automatic tag recommendation algorithms for social recommender systems
-
2011
-
Yang Song, Lu Zhang, and C. Lee Giles. 2011. Automatic tag recommendation algorithms for social recommender systems. ACM Transactions on the Web 5, 1 (2011), 4:1-4:31.
-
(2011)
ACM Transactions on the Web
, vol.5
, Issue.1
, pp. 41-431
-
-
Song, Y.1
Zhang, L.2
Lee Giles, C.3
-
126
-
-
44349194043
-
Enhanced information retrieval from narrative German-language clinical text documents using automated document classification
-
Stephan Spat, Bruno Cadonna, Ivo Rakovac, Christian Gütl, Hubert Leitner, Günther Stark, and Peter Beck. 2008. Enhanced information retrieval from narrative German-language clinical text documents using automated document classification. In Proceedings of MIE 2008 the 21st International Congress of the European Federation for Medical Informatics. 473-478.
-
(2008)
Proceedings of MIE 2008 the 21st International Congress of the European Federation for Medical Informatics
, pp. 473-478
-
-
Spat, S.1
Cadonna, B.2
Rakovac, I.3
Gütl, C.4
Leitner, H.5
Stark, G.6
Beck, P.7
-
130
-
-
70350365056
-
Kernel discriminant analysis using triangular kernel for semantic scene classification
-
IEEE, Los Alamitos, CA
-
Muhammad A. Tahir, Josef Kittler, Fei Yan, and Krystian Mikolajczyk. 2009. Kernel discriminant analysis using triangular kernel for semantic scene classification. In Proceedings of the 7th International Workshop on Content-Based Multimedia Indexing (CBMI'09). IEEE, Los Alamitos, CA, 1-6.
-
(2009)
Proceedings of the 7th International Workshop on Content-Based Multimedia Indexing (CBMI'09)
, pp. 1-6
-
-
Tahir, M.A.1
Kittler, J.2
Yan, F.3
Mikolajczyk, K.4
-
136
-
-
34047263437
-
A greedy classification algorithm based on association rule
-
Fadi A. Thabtah and Peter L. Cowling. 2007. A greedy classification algorithm based on association rule. Applied Soft Computing 7, 3 (2007), 1102-1111.
-
(2007)
Applied Soft Computing
, vol.7
, Issue.3
, pp. 1102-1111
-
-
Thabtah, F.A.1
Cowling, P.L.2
-
138
-
-
77955908068
-
Correlation-based pruning of stacked binary relevance models for multi- label learning
-
Grigorios Tsoumakas, A. Dimou, E. Spyromitros, V. Mezaris, I. Kompatsiaris, and Ioannis Vlahavas. 2009. Correlation-based pruning of stacked binary relevance models for multi- label learning. In Proceedings of the 1st International Workshop on Learning from Multi-Label Data (MLD'09). 101-116.
-
(2009)
Proceedings of the 1st International Workshop on Learning from Multi-Label Data (MLD'09)
, pp. 101-116
-
-
Tsoumakas, G.1
Dimou, A.2
Spyromitros, E.3
Mezaris, V.4
Kompatsiaris, I.5
Vlahavas, I.6
-
141
-
-
33749682962
-
-
Springer, Chapter Mining Multi-label Data
-
Grigorios Tsoumakas, Ioannis Katakis, and Ioannis Vlahavas. 2010a. Data Mining and Knowledge Discovery Handbook, Part 6. Springer, Chapter Mining Multi-label Data, 667-685.
-
(2010)
Data Mining and Knowledge Discovery Handbook, Part 6
, pp. 667-685
-
-
Tsoumakas, G.1
Katakis, I.2
Vlahavas, I.3
-
142
-
-
79955561512
-
Random k-labelsets for multi-label classification
-
2010
-
Grigorios Tsoumakas, Ioannis Katakis, and Ioannis Vlahavas. 2010b. Random k-labelsets for multi-label classification. IEEE Transactions on Knowledge and Data Engineering 23, 7 (2010), 1079-1089.
-
(2010)
IEEE Transactions on Knowledge and Data Engineering
, vol.23
, Issue.7
, pp. 1079-1089
-
-
Tsoumakas, G.1
Katakis, I.2
Vlahavas, I.3
-
143
-
-
80052236046
-
Mulan: A java library for multi-label learning
-
2011
-
Grigorios Tsoumakas, Eleftherios Spyromitros-Xioufis, Jozef Vilcek, and Ioannis Vlahavas. 2011. Mulan: A java library for multi-label learning. Journal of Machine Learning Research 12 (2011), 2411-2414.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2411-2414
-
-
Tsoumakas, G.1
Spyromitros-Xioufis, E.2
Vilcek, J.3
Vlahavas, I.4
-
146
-
-
57049092565
-
Semantic annotation and retrieval of music and sound effects
-
2008
-
D. Turnbull, L. Barrington, D. Torres, and G. Lanckriet. 2008. Semantic annotation and retrieval of music and sound effects. IEEE Transactions on Audio, Speech, and Language Processing 16, 2 (2008), 467-476.
-
(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
-
148
-
-
85206060847
-
-
Retrieved from
-
Naonori Ueda and Kazumi Saito. 2002b. Yahoo Dataset. Retrieved from http://www.kecl.ntt.co.jp/as/members/ueda/yahoo.tar.gz.
-
(2002)
Yahoo Dataset
-
-
Ueda, N.1
Saito, K.2
-
150
-
-
52949141834
-
Decision trees for hierarchical multi-label classification
-
2008
-
Celine Vens, Jan Struyf, Leander Schietgat, Sašo Džeroski, and Hendrik Blockeel. 2008. Decision trees for hierarchical multi-label classification. Machine Learning 73, 2 (2008), 185-214.
-
(2008)
Machine Learning
, vol.73
, Issue.2
, pp. 185-214
-
-
Vens, C.1
Struyf, J.2
Schietgat, L.3
Džeroski, S.4
Blockeel, H.5
-
151
-
-
79251628147
-
Ontology-based multi-label classification of economic articles
-
2011
-
Sergeja Vogrincic and Zoran Bosnic. 2011. Ontology-based multi-label classification of economic articles. Computer Science and Information Systems 8, 1 (2011), 101-119.
-
(2011)
Computer Science and Information Systems
, vol.8
, Issue.1
, pp. 101-119
-
-
Vogrincic, S.1
Bosnic, Z.2
-
152
-
-
79958844204
-
A transductive multi-label learning approach for video concept detection
-
2010
-
Jingdong Wang, Yinghai Zhao, Xiuqing Wu, and Xian-Sheng Hua. 2010. A transductive multi-label learning approach for video concept detection. Pattern Recognition 44 (2010), 2274-2286.
-
(2010)
Pattern Recognition
, vol.44
, pp. 2274-2286
-
-
Wang, J.1
Zhao, Y.2
Wu, X.3
Hua, X.4
-
153
-
-
57649109828
-
Automatic image annotation via local multi-label classification
-
ACM, New York, NY
-
Mei Wang, Xiangdong Zhou, and Tat S. Chua. 2008. Automatic image annotation via local multi-label classification. In Proceedings of the 2008 International Conference on Content-based Image and Video Retrieval (CIVR'08). ACM, New York, NY, 17-26.
-
(2008)
Proceedings of the 2008 International Conference on Content-based Image and Video Retrieval (CIVR'08)
, pp. 17-26
-
-
Wang, M.1
Zhou, X.2
Chua, T.S.3
-
155
-
-
0026692226
-
Stacked generalization
-
David H. Wolpert. 1992. Stacked generalization. Neural Networks 5 (1992), 241-259.
-
(1992)
Neural Networks
, vol.5
, pp. 241-259
-
-
Wolpert, D.H.1
-
156
-
-
84855909023
-
An efficient multi-label support vector machine with a zero label
-
2012
-
Jianhua Xu. 2012. An efficient multi-label support vector machine with a zero label. Expert Systems with Applications 39, 5 (2012), 4796-4804.
-
(2012)
Expert Systems with Applications
, vol.39
, Issue.5
, pp. 4796-4804
-
-
Xu, J.1
-
157
-
-
84870243552
-
Fast multi-label core vector machine
-
2013
-
Jianhua Xu. 2013a. Fast multi-label core vector machine. Pattern Recognition 46, 3 (2013), 885-898.
-
(2013)
Pattern Recognition
, vol.46
, Issue.3
, pp. 885-898
-
-
Xu, J.1
-
160
-
-
77956198703
-
Medical coding classification by leveraging inter-code relationships
-
ACM, New York, NY
-
Yan Yan, Glenn Fung, Jennifer G. Dy, and Romer Rosales. 2010. Medical coding classification by leveraging inter-code relationships. In Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'10). ACM, New York, NY, 193-202.
-
(2010)
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'10)
, pp. 193-202
-
-
Yan, Y.1
Fung, G.2
Dy, J.G.3
Rosales, R.4
-
161
-
-
27144441097
-
An evaluation of statistical approaches to text categorization
-
1999
-
Yiming Yang. 1999. An evaluation of statistical approaches to text categorization. Information Retrieval 1, 1-2 (1999), 69-90.
-
(1999)
Information Retrieval
, vol.1
, Issue.1-2
, pp. 69-90
-
-
Yang, Y.1
-
163
-
-
84865211737
-
Multilabel classification with meta-level features in a learning-torank framework
-
2012
-
Yiming Yang and Siddharth Gopal. 2012. Multilabel classification with meta-level features in a learning-torank framework. Machine Learning 88, 1 (2012) 47-68
-
(2012)
Machine Learning
, vol.88
, Issue.1
, pp. 47-68
-
-
Yang, Y.1
Gopal, S.2
-
165
-
-
33745882632
-
Prediction of protein subcellularmulti-locations with a min-maxmodular support vector machine
-
Springer, Berlin
-
Yang Yang and Bao-Liang Lu. 2006. Prediction of protein subcellularmulti-locations with a min-maxmodular support vector machine. In Advances in Neural Networks (ISNN'06). Lecture Notes in Computer Science, Vol. 3973. Springer, Berlin, 667-673.
-
(2006)
Advances in Neural Networks (ISNN'06). Lecture Notes in Computer Science
, vol.3973
, pp. 667-673
-
-
Yang, Y.1
Lu, B.2
-
168
-
-
84885640929
-
Multi-label informed latent semantic indexing
-
ACM, New York, NY
-
Kai Yu, Shipeng Yu, and Volker Tresp. 2005. Multi-label informed latent semantic indexing. In SIGIR'05: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'05). ACM, New York, NY, 258-265.
-
(2005)
SIGIR'05: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'05)
, pp. 258-265
-
-
Yu, K.1
Yu, S.2
Tresp, V.3
-
170
-
-
62649132781
-
Ml-rbf: RBF neural networks for multi-label learning
-
2009
-
Min-Ling Zhang. 2009. Ml-rbf: RBF neural networks for multi-label learning. Neural Processing Letters 29, 2 (2009), 61-74.
-
(2009)
Neural Processing Letters
, vol.29
, Issue.2
, pp. 61-74
-
-
Zhang, M.1
-
171
-
-
67650995440
-
Feature selection for multi-label naive Bayes classification
-
Min-Ling Zhang, José M. Peña, and Victor Robles. 2009. Feature selection for multi-label naive Bayes classification. Information Sciences 179, 19 (2009), 3218-3229.
-
(2009)
Information Sciences
, vol.179
, Issue.19
, pp. 3218-3229
-
-
Zhang, M.-L.1
Peña, J.M.2
Robles, V.3
-
174
-
-
33748366796
-
Multilabel neural networks with applications to functional genomics and text categorization
-
2006
-
Min-Ling Zhang and Zhi-Hua Zhou. 2006. Multilabel neural networks with applications to functional genomics and text categorization. IEEE Transactions on Knowledge and Data Engineering 18, 10 (2006), 1338-1351.
-
(2006)
IEEE Transactions on Knowledge and Data Engineering
, vol.18
, Issue.10
, pp. 1338-1351
-
-
Zhang, M.-L.1
Zhou, Z.-H.2
-
175
-
-
36349028595
-
Multi-label learning by instance differentiation
-
Min L. Zhang and Zhi H. Zhou. 2007. Multi-label learning by instance differentiation. In AAAI. 669-674.
-
(2007)
AAAI
, pp. 669-674
-
-
Zhang, M.L.1
Zhou, Z.H.2
-
177
-
-
80054948516
-
Multi-label classification without the multi-label cost
-
Xiatian Zhang, Quan Yuan, Shiwan Zhao, Wei Fan, Wentao Zheng, and Zhong Wang. 2010. Multi-label classification without the multi-label cost. In Proceedings of the 10th SIAM International Conference on Data Mining.
-
(2010)
Proceedings of the 10th SIAM International Conference on Data Mining
-
-
Zhang, X.1
Yuan, Q.2
Zhao, S.3
Fan, W.4
Zheng, W.5
Wang, Z.6
-
181
-
-
84865275504
-
Compressed labeling on distilled labelsets for multi-label learning
-
2012
-
Tianyi Zhou, Dacheng Tao, and XindongWu. 2012a. Compressed labeling on distilled labelsets for multi-label learning. Machine Learning 88, 1-2 (2012), 69-126.
-
(2012)
Machine Learning
, vol.88
, Issue.1-2
, pp. 69-126
-
-
Zhou, T.1
Tao, D.2
Wu, X.3
-
182
-
-
85108375679
-
Multi-instance multi-label learning with application to scene classification
-
Bernhard Schölkopf, John C. Platt, and Thomas Hoffman (Eds.)
-
Zhi H. Zhou and Min L. Zhang. 2006. Multi-instance multi-label learning with application to scene classification. In Advances in Neural Information Processing Systems 19 (NIPS'06), Bernhard Schölkopf, John C. Platt, and Thomas Hoffman (Eds.). 1609-1616.
-
(2006)
Advances in Neural Information Processing Systems 19 (NIPS'06)
, pp. 1609-1616
-
-
Zhou, Z.H.1
Zhang, M.L.2
-
183
-
-
80955134248
-
Multi-instance multi-label learning
-
2012
-
Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang, and Yu-Feng Li. 2012b.Multi-instance multi-label learning. Artificial Intelligence 176, 1 (2012), 2291-2320.
-
(2012)
Artificial Intelligence
, vol.176
, Issue.1
, pp. 2291-2320
-
-
Zhou, Z.-H.1
Zhang, M.-L.2
Huang, S.-J.3
Li, Y.-F.4
-
184
-
-
84885572482
-
Multi-labelled classification using maximum entropy method
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ACM, New York, NY
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Shenghuo Zhu, Xiang Ji, Wei Xu, and Yihong Gong. 2005. Multi-labelled classification using maximum entropy method. In Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'05). ACM, New York, NY, 274-281.
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(2005)
Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'05)
, pp. 274-281
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Zhu, S.1
Ji, X.2
Xu, W.3
Gong, Y.4
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