-
1
-
-
77956163078
-
Mining multilabel data
-
O. Maimon and L. Rokach, Eds. New York, NY, USA: Springer
-
G. Tsoumakas, I. Katakis, and I. Vlahavas, "Mining multilabel data, " in Data Mining and Knowledge Discovery Handbook, O. Maimon and L. Rokach, Eds. New York, NY, USA: Springer, 2010.
-
(2010)
Data Mining and Knowledge Discovery Handbook
-
-
Tsoumakas, G.1
Katakis, I.2
Vlahavas, I.3
-
2
-
-
79955570175
-
On label dependence in multi-label classification
-
Haifa, Israel
-
K. Dembczý nski, W. Waegeman, W. Cheng, and E. Hüllermeier, "On label dependence in multi-label classification, " in Proc. Int. Workshop Learn. Multi-Label Data, Haifa, Israel, 2010.
-
(2010)
Proc. Int. Workshop Learn. Multi-Label Data
-
-
Dembczýnski, K.1
Waegeman, W.2
Cheng, W.3
Hüllermeier, E.4
-
3
-
-
79955561512
-
Random k-labelsets for multilabel classification
-
Jul.
-
G. Tsoumakas, I. Katakis, and I. Vlahavas, "Random k-labelsets for multilabel classification, " IEEE Trans. Knowl. Data Eng., vol. 23, no. 7, pp. 1079-1089, Jul. 2011.
-
(2011)
IEEE Trans. Knowl. Data Eng.
, vol.23
, Issue.7
, pp. 1079-1089
-
-
Tsoumakas, G.1
Katakis, I.2
Vlahavas, I.3
-
4
-
-
0002900451
-
Ensemble methods in machine learning
-
Cagliari, Italy
-
T. Dietterich, "Ensemble methods in machine learning, " in Proc. 1st Int. Workshop MCS, Cagliari, Italy, 2000.
-
(2000)
Proc. 1st Int. Workshop MCS
-
-
Dietterich, T.1
-
5
-
-
0031211090
-
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
-
Y. Freund and R. E. Schapire, "A decision-theoretic generalization of on-line learning and an application to boosting, " J. Comput. Syst. Sci., vol. 55, no. 1, pp. 119-139, Aug. 1997. (Pubitemid 127433398)
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
6
-
-
0004198448
-
Arcing the edge
-
Berkeley, CA, USA
-
L. Breiman, "Arcing the edge, " Dep. Stat., Univ. California, Tech. Rep. 486, Berkeley, CA, USA, 1997.
-
(1997)
Dep. Stat., Univ. California, Tech. Rep.
, vol.486
-
-
Breiman, L.1
-
7
-
-
48749096852
-
Getting the most out of ensemble selection
-
Hong Kong, China
-
R. Caruana, A. Munson, and A. Niculescu-Mizil, "Getting the most out of ensemble selection, " in Proc. 6th ICDM, Hong Kong, China, 2006.
-
(2006)
Proc. 6th ICDM
-
-
Caruana, R.1
Munson, A.2
Niculescu-Mizil, A.3
-
9
-
-
79957460742
-
Cost-sensitive multi-label learning for audio tag annotation and retrieval
-
Jun.
-
H.-Y. Lo, J.-C. Wang, H.-M. Wang, and S.-D. Lin, "Cost-sensitive multi-label learning for audio tag annotation and retrieval, " IEEE Trans. Multimedia, vol. 13, no. 3, pp. 518-529, Jun. 2011.
-
(2011)
IEEE Trans. Multimedia
, vol.13
, Issue.3
, pp. 518-529
-
-
Lo, H.-Y.1
Wang, J.-C.2
Wang, H.-M.3
Lin, S.-D.4
-
10
-
-
70849135450
-
A survey of human computation systems
-
Vancouver, BC, Canada
-
M.-C. Yuen, L.-J. Chen, and I. King, "A survey of human computation systems, " in Proc. Int. Conf. Comput. Sci. Eng., Vancouver, BC, Canada, 2009.
-
(2009)
Proc. Int. Conf. Comput. Sci. Eng.
-
-
Yuen, M.-C.1
Chen, L.-J.2
King, I.3
-
11
-
-
85161971090
-
Automatic generation of social tags for music recommendation
-
D. Eck, P. Lamere, T. Bertin-Mahieux, and S. Green, "Automatic generation of social tags for music recommendation, " in Proc. Adv. Neural Inform. Process. Syst., 2007.
-
(2007)
Proc. Adv. Neural Inform. Process. Syst.
-
-
Eck, D.1
Lamere, P.2
Bertin-Mahieux, T.3
Green, S.4
-
13
-
-
74849083829
-
Effective and efficient multilabel classification in domains with large number of labels
-
Antwerp, Belgium
-
G. Tsoumakas, I. Katakis, and I. Vlahavas, "Effective and efficient multilabel classification in domains with large number of labels, " in Proc. ECML/PKDD Workshop Mining Multidimensional Data, Antwerp, Belgium, 2008.
-
(2008)
Proc. ECML/PKDD Workshop Mining Multidimensional Data
-
-
Tsoumakas, G.1
Katakis, I.2
Vlahavas, I.3
-
14
-
-
84873584325
-
An empirical study of multi-label classifiers for music tag annotation
-
Miami, FL, USA
-
C. Sanden and J. Z. Zhang, "An empirical study of multi-label classifiers for music tag annotation, " in Proc. 12th Int. Soc. Music Inform. Retrieval, Miami, FL, USA, 2011.
-
(2011)
Proc. 12th Int. Soc. Music Inform. Retrieval
-
-
Sanden, C.1
Zhang, J.Z.2
-
15
-
-
37849015906
-
Correlative multi-label video annotation
-
Augsburg, Germany
-
G.-J. Qi et al., "Correlative multi-label video annotation, " in Proc. ACM Int. Conf. Multimedia, Augsburg, Germany, 2007.
-
(2007)
Proc. ACM Int. Conf. Multimedia
-
-
Qi, G.-J.1
-
16
-
-
70350333307
-
Learning social tag relevance by neighbor voting
-
Nov.
-
X. Li, C. G. M. Snoek, and M. Worring, "Learning social tag relevance by neighbor voting, " IEEE Trans. Multimedia, vol. 11, no. 7, pp. 1310-1322, Nov. 2009.
-
(2009)
IEEE Trans. Multimedia
, vol.11
, Issue.7
, pp. 1310-1322
-
-
Li, X.1
Snoek, C.G.M.2
Worring, M.3
-
17
-
-
33748366796
-
Multilabel neural networks with applications to functional genomics and text categorization
-
DOI 10.1109/TKDE.2006.162, 1683770
-
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. (Pubitemid 44335199)
-
(2006)
IEEE Transactions on Knowledge and Data Engineering
, vol.18
, Issue.10
, pp. 1338-1351
-
-
Zhang, M.-L.1
Zhou, Z.-H.2
-
18
-
-
33947681316
-
ML-KNN: A lazy learning approach to multi-label learning
-
DOI 10.1016/j.patcog.2006.12.019, PII S0031320307000027
-
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. (Pubitemid 46497248)
-
(2007)
Pattern Recognition
, vol.40
, Issue.7
, pp. 2038-2048
-
-
Zhang, M.-L.1
Zhou, Z.-H.2
-
19
-
-
68949141664
-
Combining instance-based learning and logistic regression for multilabel classification
-
W. Cheng and E. Hüllermeier, "Combining instance-based learning and logistic regression for multilabel classification, " Mach. Learn., vol. 76, no. 2-3, pp. 211-225, 2009.
-
(2009)
Mach. Learn.
, vol.76
, Issue.2-3
, pp. 211-225
-
-
Cheng, W.1
Hüllermeier, E.2
-
20
-
-
79958844204
-
A transductive multilabel learning approach for video concept detection
-
J. Wang, Y. Zhao, X. Wu, and X.-S. Hua, "A transductive multilabel learning approach for video concept detection, " Pattern Recognit., vol. 44, no. 10-11, pp. 2274-2286, 2011.
-
(2011)
Pattern Recognit.
, vol.44
, Issue.10-11
, pp. 2274-2286
-
-
Wang, J.1
Zhao, Y.2
Wu, X.3
Hua, X.-S.4
-
21
-
-
33750718803
-
Semi-supervised multi-label learning by constrained non-negative matrix factorization
-
Y. Liu, R. Jin, and L. Yang, "Semi-supervised multi-label learning by constrained non-negative matrix factorization, " in Proc. 21st Nat. Conf. Artif. Intell., 2006.
-
(2006)
Proc. 21st Nat. Conf. Artif. Intell.
-
-
Liu, Y.1
Jin, R.2
Yang, L.3
-
22
-
-
65449185036
-
Hypergraph spectral learning for multilabel classification
-
Las Vegas, NV, USA
-
L. Sun, S. Ji, and J. Ye, "Hypergraph spectral learning for multilabel classification, " in Proc. ACM Int. Conf. KDD, Las Vegas, NV, USA, 2008.
-
(2008)
Proc. ACM Int. Conf. KDD
-
-
Sun, L.1
Ji, S.2
Ye, J.3
-
23
-
-
84904423956
-
An ensemble method for multi-label classification using an approximation algorithm for the set covering problem
-
L. Rokach and E. Itach, "An ensemble method for multi-label classification using an approximation algorithm for the set covering problem, " in Proc. Int. Workshop Learn. Multi-Label Data, 2010.
-
(2010)
Proc. Int. Workshop Learn. Multi-Label Data
-
-
Rokach, L.1
Itach, E.2
-
24
-
-
77956201769
-
Multi-label learning by exploiting label dependency
-
Washington, DC, USA
-
M.-L. Zhang and K. Zhang, "Multi-label learning by exploiting label dependency, " in Proc. 16th ACM Int. Conf. KDD, Washington, DC, USA, 2010.
-
(2010)
Proc. 16th ACM Int. Conf. KDD
-
-
Zhang, M.-L.1
Zhang, K.2
-
26
-
-
0035478854
-
Random forests
-
DOI 10.1023/A:1010933404324
-
L. Breiman, "Random forests, " Mach. Learn., vol. 45, pp. 5-32, Jan. 2001. (Pubitemid 32933532)
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
27
-
-
0033281701
-
Improved boosting algorithms using confidence-rated predictions
-
DOI 10.1023/A:1007614523901
-
R. E. Schapire and Y. Singer, "Improved boosting algorithms using confidence-rated predictions, " Mach. Learn., vol. 37, no. 3, pp. 297-336, Dec. 1999. (Pubitemid 32210620)
-
(1999)
Machine Learning
, vol.37
, Issue.3
, pp. 297-336
-
-
Schapire, R.E.1
Singer, Y.2
-
29
-
-
34250754984
-
Higher order learning with graphs
-
Pittsburgh, PA, USA
-
S. Agarwal, K. Branson, and S. Belongie, "Higher order learning with graphs, " in Proc. Int. Conf. Mach. Learn., Pittsburgh, PA, USA, 2006.
-
(2006)
Proc. Int. Conf. Mach. Learn.
-
-
Agarwal, S.1
Branson, K.2
Belongie, S.3
-
30
-
-
85135520881
-
Learning with hypergraphs: Clustering, classification, and embedding
-
D. Zhou, J. Huang, and B. Scholkopf, "Learning with hypergraphs: Clustering, classification, and embedding, " in Proc. Adv. Neural Inform. Process. Syst., 2006.
-
(2006)
Proc. Adv. Neural Inform. Process. Syst.
-
-
Zhou, D.1
Huang, J.2
Scholkopf, B.3
-
31
-
-
0003882879
-
-
Providence RI, USA: American Mathematical Society
-
F. R. K. Chung, Spectral Graph Theory. Providence, RI, USA: American Mathematical Society, 1997.
-
(1997)
Spectral Graph Theory
-
-
Chung, F.R.K.1
-
32
-
-
80052236046
-
Mulan: A Java library for multi-label learning
-
Jul.
-
G. Tsoumakas, E. Spyromitros-Xioufis, J. Vilcek, and I. Vlahavas, "Mulan: A Java library for multi-label learning, " J. Mach. Learn. Res., vol. 12, pp. 2411-2414, Jul. 2011.
-
(2011)
J. Mach. Learn. Res.
, vol.12
, pp. 2411-2414
-
-
Tsoumakas, G.1
Spyromitros-Xioufis, E.2
Vilcek, J.3
Vlahavas, I.4
-
33
-
-
57049157739
-
A web-based game for collecting music metadata
-
M. I. Mandel and D. P. W. Ellis, "A web-based game for collecting music metadata, " J. New Music Res., vol. 37, no. 2, pp. 151-165, 2008.
-
(2008)
J. New Music Res.
, vol.37
, Issue.2
, pp. 151-165
-
-
Mandel, M.I.1
Ellis, D.P.W.2
-
34
-
-
57049092565
-
Semantic annotation and retrieval of music and sound effects
-
Feb.
-
D. Turnbull, L. Barrington, D. Torres, and G. Lanckriet, "Semantic annotation and retrieval of music and sound effects, " IEEE Trans. Audio Speech Lang. Process., vol. 16, no. 16. pp. 467-476, Feb. 2008.
-
(2008)
IEEE Trans. Audio Speech Lang. Process.
, vol.16
, Issue.16
, pp. 467-476
-
-
Turnbull, D.1
Barrington, L.2
Torres, D.3
Lanckriet, G.4
-
35
-
-
84897583633
-
A generative context model for semantic music annotation and retrieval
-
May
-
R. Miotto and G. R. G. Lanckriet, "A generative context model for semantic music annotation and retrieval, " IEEE Trans. Audio Speech Lang. Process., vol. 20, no. 4, pp. 1096-1108, May 2012.
-
(2012)
IEEE Trans. Audio Speech Lang. Process.
, vol.20
, Issue.4
, pp. 1096-1108
-
-
Miotto, R.1
Lanckriet, G.R.G.2
-
36
-
-
62949200530
-
Tag normalization and prediction for effective social media retrieval
-
Sydney, NSW, Australia
-
M.-H. Hsu and H.-H. Chen, "Tag normalization and prediction for effective social media retrieval, " in Proc. IEEE/WIC/ACM WIIAT, Sydney, NSW, Australia, 2008.
-
(2008)
Proc. IEEE/WIC/ACM WIIAT
-
-
Hsu, M.-H.1
Chen, H.-H.2
-
37
-
-
84861617363
-
An extensive experimental comparison of methods for multi-label learning
-
G. Madjarov, D. Kocev, D. Gjorgjevikj, and S. Deroski, "An extensive experimental comparison of methods for multi-label learning, " Pattern Recognit., vol. 45, no. 9, pp. 3084-3104, 2012.
-
(2012)
Pattern Recognit.
, vol.45
, Issue.9
, pp. 3084-3104
-
-
Madjarov, G.1
Kocev, D.2
Gjorgjevikj, D.3
Deroski, S.4
-
38
-
-
77952069653
-
Classifier chains for multi-label classification
-
Bled, Slovenia
-
J. Read, B. Pfahringer, G. Holmes, and E. Frank, "Classifier chains for multi-label classification, " in Proc. ECML PKDD, Bled, Slovenia, 2009.
-
(2009)
Proc. ECML PKDD
-
-
Read, J.1
Pfahringer, B.2
Holmes, G.3
Frank, E.4
|