-
3
-
-
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. Journal of Machine Learning Research 2009, pages 211-255.
-
(2009)
Journal of Machine Learning Research
, pp. 211-255
-
-
Cheng, W.1
Hüllermeier, E.2
-
4
-
-
29644438050
-
Statistical comparisons for classifiers over multiple data sets
-
J. Demsar. Statistical comparisons for classifiers over multiple data sets. Journal of Machine Learning Research 2006, pages 1-30.
-
(2006)
Journal of Machine Learning Research
, pp. 1-30
-
-
Demsar, J.1
-
6
-
-
58149287952
-
An extension on "statistical comparisons of classifiers over multiple data sets" for all pairwise comparisons
-
S. Garcia and F. Herrera. An extension on "statistical comparisons of classifiers over multiple data sets" for all pairwise comparisons. Journal of Machine Learning Research 2008, pages 2677-2694.
-
(2008)
Journal of Machine Learning Research
, pp. 2677-2694
-
-
Garcia, S.1
Herrera, F.2
-
7
-
-
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, Volume 11, 2009.
-
(2009)
SIGKDD Explorations
, vol.11
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
8
-
-
31844446804
-
A support vector method for multivariate performance measures
-
T. Joachims: A support vector method for multivariate performance measures. International Conference on Machine Learning 2005, pages 377-384.
-
(2005)
International Conference on Machine Learning
, pp. 377-384
-
-
Joachims, T.1
-
11
-
-
1942516915
-
A loss function analysis for classification methods in text categorization
-
F. Li and Y. Yang. A loss function analysis for classification methods in text categorization. International Conference on Machine Learning 2003, pages 472-479.
-
International Conference on Machine Learning 2003
, pp. 472-479
-
-
Li, F.1
Yang, Y.2
-
12
-
-
57649092193
-
McRank: Learning to rank using multiple classification and gradient boosting
-
P. Li, C. Burges, Q. Wu, J.C. Platt, D. Koller, Y. Singer and S. Roweis. McRank: Learning to rank using multiple classification and gradient boosting. Advances in Neural Information Processing Systems 2007.
-
(2007)
Advances in Neural Information Processing Systems
-
-
Li, P.1
Burges, C.2
Wu, Q.3
Platt, J.C.4
Koller, D.5
Singer, Y.6
Roweis, S.7
-
15
-
-
0033281701
-
Improved boosting algorithms using confidence-rated predictions
-
R.E. Schapire and Y. Singer. Improved boosting algorithms using confidence-rated predictions. Journal of Machine learning Research 1999, pages 297-336.
-
(1999)
Journal of Machine Learning Research
, pp. 297-336
-
-
Schapire, R.E.1
Singer, Y.2
-
19
-
-
36448954244
-
AdaRank: A boosting algorithm for information retrieval
-
Jun Xu and Hang Li. AdaRank: a boosting algorithm for information retrieval. ACM SIGIR 2007, pages 391-398.
-
ACM SIGIR 2007
, pp. 391-398
-
-
Xu, J.1
Li, H.2
-
20
-
-
84984720462
-
Expert network: Effective and efficient learning from human decisions in text categorization and retrieval
-
Y. Yang: Expert Network: Effective and Efficient Learning from Human Decisions in Text Categorization and Retrieval. ACM SIGIR 1994, pages 13-22.
-
ACM SIGIR 1994
, pp. 13-22
-
-
Yang, Y.1
-
21
-
-
0034785186
-
A study of thresholding strategies for text categorization
-
Y. Yang. A Study of thresholding strategies for text categorization. ACM SIGIR 2001, pages 137-145.
-
ACM SIGIR 2001
, pp. 137-145
-
-
Yang, Y.1
-
22
-
-
27144441097
-
An evaluation of statistical approaches for text classification
-
Y. Yang. An evaluation of statistical approaches for text classification. Information Retrieval 1999. Vol 1, No. 1/2, pages 67-88.
-
Information Retrieval 1999
, vol.1
, Issue.1-2
, pp. 67-88
-
-
Yang, Y.1
-
25
-
-
33947681316
-
ML-kNN: A lazy learning approach to multi-label learning
-
ML Zhang and ZH Zhou. ML-kNN: A lazy learning approach to multi-label learning. Pattern Recognition 2007, pages 2038-2048.
-
Pattern Recognition 2007
, pp. 2038-2048
-
-
Zhang, M.L.1
Zhou, Z.H.2
|