-
1
-
-
0035478854
-
Random forests
-
L. Breiman. Random forests. Machine learning, 45(1):5-32, 2001.
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
5
-
-
78651244369
-
Particle swarm model selection for authorship verification
-
H. Escalante, M. Montes, and L. Villasenor. Particle swarm model selection for authorship verification. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, pages 563-570, 2009.
-
(2009)
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
, pp. 563-570
-
-
Escalante, H.1
Montes, M.2
Villasenor, L.3
-
6
-
-
50949133669
-
Liblinear: A library for large linear classification
-
R.E. Fan, K.W. Chang, C.J. Hsieh, X.R. Wang, and C.J. Lin. Liblinear: A library for large linear classification. The Journal of Machine Learning Research, 9:1871-1874, 2008.
-
(2008)
The Journal of Machine Learning Research
, vol.9
, pp. 1871-1874
-
-
Fan, R.E.1
Chang, K.W.2
Hsieh, C.J.3
Wang, X.R.4
Lin, C.J.5
-
9
-
-
58449112832
-
Computational methods in authorship attribution
-
M. Koppel, J. Schler, and S. Argamon. Computational methods in authorship attribution. Journal of the American Society for information Science and Technology, 60(1):9-26, 2009.
-
(2009)
Journal of the American Society for Information Science and Technology
, vol.60
, Issue.1
, pp. 9-26
-
-
Koppel, M.1
Schler, J.2
Argamon, S.3
-
10
-
-
84957069091
-
Naive (bayes) at forty: The independence assumption in information retrieval
-
D. Lewis. Naive (bayes) at forty: The independence assumption in information retrieval. Machine Learning: ECML-98, pages 4-15, 1998.
-
(1998)
Machine Learning: ECML
, vol.98
, pp. 4-15
-
-
Lewis, D.1
-
11
-
-
80053392629
-
Authorship attribution and verification with many authors and limited data
-
Association for Computational Linguistics
-
K. Luyckx and W. Daelemans. Authorship attribution and verification with many authors and limited data. In Proceedings of the 22nd International Conference on Computational Linguistics-Volume 1, pages 513-520. Association for Computational Linguistics, 2008.
-
(2008)
Proceedings of the 22nd International Conference on Computational Linguistics
, vol.1
, pp. 513-520
-
-
Luyckx, K.1
Daelemans, W.2
-
12
-
-
0007771055
-
Using maximum entropy for text classification
-
Citeseer
-
K. Nigam, J. Lafferty, and A. McCallum. Using maximum entropy for text classification. In IJCAI-99 workshop on machine learning for information filtering, volume 1, pages 61-67. Citeseer, 1999.
-
(1999)
IJCAI-99 Workshop on Machine Learning for Information Filtering
, vol.1
, pp. 61-67
-
-
Nigam, K.1
Lafferty, J.2
McCallum, A.3
-
15
-
-
0002442796
-
Machine learning in automated text categorization
-
F. Sebastiani. Machine learning in automated text categorization. ACM computing surveys (CSUR), 34(1):1-47, 2002.
-
(2002)
ACM Computing Surveys (CSUR)
, vol.34
, Issue.1
, pp. 1-47
-
-
Sebastiani, F.1
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