-
1
-
-
79951755700
-
A unified model for multilabel classification and ranking
-
K. Brinker, J. Fürnkranz, E. Hüllermeier, A unified model for multilabel classification and ranking, in: Proceedings of the 17th European Conference on Artificial Intelligence, 2006, pp. 489-493.
-
(2006)
Proceedings of the 17th European Conference on Artificial Intelligence
, pp. 489-493
-
-
Brinker, K.1
Fürnkranz, J.2
Hüllermeier, E.3
-
3
-
-
33947681316
-
ML-kNN: A lazy learning approach to multi-label learning
-
M.L. Zhang, and Z.H. Zhou ML-kNN: a lazy learning approach to multi-label learning Pattern Recognition 40 7 2007 2038 2048
-
(2007)
Pattern Recognition
, vol.40
, Issue.7
, pp. 2038-2048
-
-
Zhang, M.L.1
Zhou, Z.H.2
-
4
-
-
70249151061
-
Multi-label classification of emotions in music
-
A. Wieczorkowska, P. Synak, Z. Ras, Multi-label classification of emotions in music, in: Intelligent Information Processing and Web Mining, Springer, Berlin/Heidelberg, 2006, pp. 307-315.
-
(2006)
Intelligent Information Processing and Web Mining, Springer, Berlin/Heidelberg
, pp. 307-315
-
-
Wieczorkowska, A.1
Synak, P.2
Ras, Z.3
-
5
-
-
55349142147
-
An empirical study of lazy multilabel classification algorithms
-
E. Spyromitros, G. Tsoumakas, I. Vlahavas, An empirical study of lazy multilabel classification algorithms, in: Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications, 2008, pp. 401-406.
-
(2008)
Proceedings of the 5th Hellenic Conference on Artificial Intelligence: Theories, Models and Applications
, pp. 401-406
-
-
Spyromitros, E.1
Tsoumakas, G.2
Vlahavas, I.3
-
6
-
-
0142228873
-
A family of additive online algorithms for category ranking
-
K. Crammer, and Y. Singer A family of additive online algorithms for category ranking Journal of Machine Learning Research 3 2003 1025 1058
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1025-1058
-
-
Crammer, K.1
Singer, Y.2
-
7
-
-
33748366796
-
Multi-label neural networks with applications to functional genomics and text categorization
-
M.L. Zhang, and Z.H. Zhou Multi-label 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
-
8
-
-
0033905095
-
Boostexter: A boosting-based system for text categorization
-
R.E. Schapire, and Y. Singer Boostexter: a boosting-based system for text categorization Machine Learning 39 2000 135 168
-
(2000)
Machine Learning
, vol.39
, pp. 135-168
-
-
Schapire, R.E.1
Singer, Y.2
-
9
-
-
8344282787
-
Learning multi-label alternating decision trees from texts and data
-
F. De Comité, R. Gilleron, M. Tommasi, Learning multi-label alternating decision trees from texts and data, in: Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition, 2003, pp. 35-49.
-
(2003)
Proceedings of the 3rd International Conference on Machine Learning and Data Mining in Pattern Recognition
, pp. 35-49
-
-
De Comité, F.1
Gilleron, R.2
Tommasi, M.3
-
10
-
-
19544382863
-
MMAC: A new multi-class, multi-label associative classification approach
-
F.A. Thabtah, P. Cowling, Y. Peng, MMAC: a new multi-class, multi-label associative classification approach, in: Proceedings of the 4th IEEE International Conference on Data Mining, 2004, pp. 217-224.
-
(2004)
Proceedings of the 4th IEEE International Conference on Data Mining
, pp. 217-224
-
-
Thabtah, F.A.1
Cowling, P.2
Peng, Y.3
-
12
-
-
0002343269
-
Top-down induction of clustering trees
-
H. Blockeel, L.D. Raedt, J. Ramon, Top-down induction of clustering trees, in: Proceedings of the 15th International Conference on Machine Learning, 1998, pp. 55-63.
-
(1998)
Proceedings of the 15th International Conference on Machine Learning
, pp. 55-63
-
-
Blockeel, H.1
Raedt, L.D.2
Ramon, J.3
-
14
-
-
51349159085
-
Probability estimates for multi-class classification by pairwise coupling
-
T.-F. Wu, C.-J. Lin, and R.C. Weng Probability estimates for multi-class classification by pairwise coupling Journal of Machine Learning Research 5 2004 975 1005
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 975-1005
-
-
Wu, T.-F.1
Lin, C.-J.2
Weng, R.C.3
-
16
-
-
70349968175
-
Classifier chains for multi-label classification
-
J. Read, B. Pfahringer, G. Holmes, E. Frank, Classifier chains for multi-label classification, in: Proceedings of the 20th European Conference on Machine Learning, 2009, pp. 254-269.
-
(2009)
Proceedings of the 20th European Conference on Machine Learning
, pp. 254-269
-
-
Read, J.1
Pfahringer, B.2
Holmes, G.3
Frank, E.4
-
17
-
-
38049132551
-
Ensembles of multi-objective decision trees
-
D. Kocev, C. Vens, J. Struyf, S. Džeroski, Ensembles of multi-objective decision trees, in: Proceedings of the 18th European conference on Machine Learning, 2007, pp. 624-631.
-
(2007)
Proceedings of the 18th European Conference on Machine Learning
, pp. 624-631
-
-
Kocev, D.1
Vens, C.2
Struyf, J.3
Džeroski, S.4
-
18
-
-
80053956207
-
-
Ph.D. thesis, IPS Jožef Stefan, Ljubljana, Slovenia
-
D. Kocev, Ensembles for predicting structured outputs, Ph.D. thesis, IPS Jožef Stefan, Ljubljana, Slovenia, 2011.
-
(2011)
Ensembles for Predicting Structured Outputs
-
-
Kocev, D.1
-
19
-
-
68949141664
-
Combining instance-based learning and logistic regression for multilabel classification
-
W. Cheng, and E. Hullermeier Combining instance-based learning and logistic regression for multilabel classification Machine Learning 76 2009 211 225
-
(2009)
Machine Learning
, vol.76
, pp. 211-225
-
-
Cheng, W.1
Hullermeier, E.2
-
21
-
-
7444230008
-
Discriminative methods for multi-labeled classification
-
Springer, Berlin/Heidelberg
-
S. Godbole, S. Sarawagi, Discriminative methods for multi-labeled classification, in: Advances in Knowledge Discovery and Data Mining, Springer, Berlin/Heidelberg, 2004, pp. 22-30.
-
(2004)
Advances in Knowledge Discovery and Data Mining
, pp. 22-30
-
-
Godbole, S.1
Sarawagi, S.2
-
22
-
-
67049088703
-
Multi-label classification using ensembles of pruned sets
-
J. Read, B. Pfahringer, G. Holmes, Multi-label classification using ensembles of pruned sets, in: Proceedings of the 8th IEEE International Conference on Data Mining, 2008, pp. 995-1000.
-
(2008)
Proceedings of the 8th IEEE International Conference on Data Mining
, pp. 995-1000
-
-
Read, J.1
Pfahringer, B.2
Holmes, G.3
-
24
-
-
74849083829
-
Effective and efficient multilabel classification in domains with large number of labels
-
G. Tsoumakas, I. Katakis, I. Vlahavas, Effective and efficient multilabel classification in domains with large number of labels, in: Proceedings of the ECML/PKDD Workshop on Mining Multidimensional Data, 2008, pp. 30-44.
-
(2008)
Proceedings of the ECML/PKDD Workshop on Mining Multidimensional Data
, pp. 30-44
-
-
Tsoumakas, G.1
Katakis, I.2
Vlahavas, I.3
-
26
-
-
77649237436
-
Efficient voting prediction for pairwise multilabel classification
-
E.L. Mencía, S.-H. Park, and J. Fürnkranz Efficient voting prediction for pairwise multilabel classification Neurocomputing 73 2010 1164 1176
-
(2010)
Neurocomputing
, vol.73
, pp. 1164-1176
-
-
Mencía, E.L.1
Park, S.-H.2
Fürnkranz, J.3
-
27
-
-
67049088703
-
Multi-label classification using ensembles of pruned sets
-
J. Read, B. Pfahringer, G. Holmes, Multi-label classification using ensembles of pruned sets, in: Proceedings of the 8th IEEE International Conference on Data Mining, 2008, pp. 995-1000.
-
(2008)
Proceedings of the 8th IEEE International Conference on Data Mining
, pp. 995-1000
-
-
Read, J.1
Pfahringer, B.2
Holmes, G.3
-
30
-
-
77956163078
-
Mining multi-label data
-
G. Tsoumakas, I. Katakis, I. Vlahavas, Mining multi-label data, in: Data Mining and Knowledge Discovery Handbook, Springer, Berlin/Heidelberg, 2010, pp. 667-685.
-
(2010)
Data Mining and Knowledge Discovery Handbook, Springer, Berlin/Heidelberg
, pp. 667-685
-
-
Tsoumakas, G.1
Katakis, I.2
Vlahavas, I.3
-
31
-
-
84873447495
-
Multilabel classification of music into emotions
-
K. Trohidis, G. Tsoumakas, G. Kalliris, I. Vlahavas, Multilabel classification of music into emotions, in: Proceedings of the 9th International Conference on Music Information Retrieval, 2008, pp. 320-330.
-
(2008)
Proceedings of the 9th International Conference on Music Information Retrieval
, pp. 320-330
-
-
Trohidis, K.1
Tsoumakas, G.2
Kalliris, G.3
Vlahavas, I.4
-
32
-
-
3042597440
-
Learning multi-label scene classification
-
M.R. Boutell, J. Luo, X. Shen, and C.M. Brown Learning multi-label scene classification Pattern Recognition 37 9 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
-
34
-
-
0038401728
-
Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary
-
P. Duygulu, K. Barnard, J. de Freitas, D. Forsyth, Object recognition as machine translation: learning a lexicon for a fixed image vocabulary, in: Proceedings of the 7th European Conference on Computer Vision, 2002, pp. 349-354.
-
(2002)
Proceedings of the 7th European Conference on Computer Vision
, pp. 349-354
-
-
Duygulu, P.1
Barnard, K.2
De Freitas, J.3
Forsyth, D.4
-
36
-
-
34547172608
-
The challenge problem for automated detection of 101 semantic concepts in multimedia
-
C.G.M. Snoek, M. Worring, J.C. van Gemert, J.-M. Geusebroek, A.W.M. Smeulders, The challenge problem for automated detection of 101 semantic concepts in multimedia, in: Proceedings of the 14th Annual ACM International Conference on Multimedia, 2006, pp. 421-430.
-
(2006)
Proceedings of the 14th Annual ACM International Conference on 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
-
38
-
-
0003505985
-
-
CDC/National Center for Health Statistics Ninth Revision, Clinical Modification (ICD-9-CM)
-
CDC/National Center for Health Statistics, International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), 〈 http://www.cdc.gov/nchs/icd/icd9cm.htm 〉 (2011).
-
(2011)
International Classification of Diseases
-
-
-
39
-
-
76749092270
-
The WEKA data mining software: An update
-
M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I.H. Witten The WEKA data mining software: an update SIGKDD Explorations 11 2009 10 18
-
(2009)
SIGKDD Explorations
, vol.11
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
41
-
-
0032645080
-
An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
-
E. Bauer, and R. Kohavi An empirical comparison of voting classification algorithms: bagging, boosting, and variants Machine Learning 36 1 1999 105 139
-
(1999)
Machine Learning
, vol.36
, Issue.1
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
42
-
-
0001837148
-
A comparison of alternative tests of significance for the problem of m rankings
-
M. Friedman A comparison of alternative tests of significance for the problem of m rankings Annals of Mathematical Statistics 11 1940 86 92
-
(1940)
Annals of Mathematical Statistics
, vol.11
, pp. 86-92
-
-
Friedman, M.1
-
44
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
J. Demšar 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
-
45
-
-
0001750957
-
Approximations of the critical region of the Friedman statistic
-
R.L. Iman, and J.M. Davenport Approximations of the critical region of the Friedman statistic Communications in Statistics 1980 571 595
-
(1980)
Communications in Statistics
, pp. 571-595
-
-
Iman, R.L.1
Davenport, J.M.2
-
47
-
-
52949141834
-
Decision trees for hierarchical multi-label classification
-
C. Vens, J. Struyf, L. Schietgat, S. Džeroski, and H. Blockeel 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
|