-
1
-
-
27344454215
-
Learning from labeled and unlabeled data: An empirical study across techniques and domains
-
Chawla, Nitesh V. and Karakoulas, Grigoris J. Learning from labeled and unlabeled data: An empirical study across techniques and domains. J. Artif. Intell. Res. (JAIR), 23:331-366, 2005.
-
(2005)
J. Artif. Intell. Res. (JAIR)
, vol.23
, pp. 331-366
-
-
Chawla, N.V.1
Karakoulas, G.J.2
-
2
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Dempster, A. P., Laird, N. M., and Rubin, D. B. Maximum likelihood from incomplete data via the EM algorithm. J. Royal Statistical Society B, 39:1-38, 1977.
-
(1977)
J. Royal Statistical Society B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
3
-
-
33750711226
-
Learning from little: Comparison of classifiers given little training
-
Forman, G. and Cohen, I. Learning from little: Comparison of classifiers given little training. In Proceeding of PKDD2004, pp. 161-172. 2004.
-
(2004)
Proceeding of PKDD2004
, pp. 161-172
-
-
Forman, G.1
Cohen, I.2
-
4
-
-
76749092270
-
The weka data mining software: An update
-
Hall, Mark, Frank, Eibe, Holmes, Geoffrey, Pfahringer, Bernhard, Reutemann, Peter, and Witten, Ian H. The weka data mining software: an update. SIGKDD Explorations, 11(1):10-18, 2009.
-
(2009)
SIGKDD Explorations
, vol.11
, Issue.1
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
5
-
-
84876811202
-
Rcv1: A new benchmark collection for text categorization research
-
Lewis, David D., Yang, Yiming, Rose, Tony G., and Li, Fan. Rcv1: A new benchmark collection for text categorization research. Journal of Machine Learning Research, 5:361-397, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 361-397
-
-
Lewis, D.D.1
Yang, Y.2
Rose, T.G.3
Li, F.4
-
6
-
-
77949506891
-
Generalized expectation criteria for semi-supervised learning with weakly labeled data
-
Mann, Gideon S. and McCallum, Andrew. Generalized expectation criteria for semi-supervised learning with weakly labeled data. Journal of Machine Learning Research, 11:955-984, 2010.
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 955-984
-
-
Mann, G.S.1
McCallum, A.2
-
8
-
-
59549087165
-
On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes
-
Andrew. N. Ng and M. Jordan, Cambridge, MA: MIT Press, 2002
-
Ng, A. and Jordan, M. On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes. In Andrew. N. Ng and M. Jordan, in Advances in Neural Information Processing Systems 14. Cambridge, MA: MIT Press, 2002., 2002.
-
(2002)
Advances in Neural Information Processing Systems
, pp. 14
-
-
Ng, A.1
Jordan, M.2
-
9
-
-
0033886806
-
Text classification from labeled and unlabeled documents using em
-
Nigam, Kamal, McCallum, Andrew, Thrun, Sebastian, and Mitchell, Tom M. Text classification from labeled and unlabeled documents using em. Machine Learning, 39(2/3):103-134, 2000.
-
(2000)
Machine Learning
, vol.39
, Issue.2-3
, pp. 103-134
-
-
Nigam, K.1
McCallum, A.2
Thrun, S.3
Mitchell, T.M.4
-
10
-
-
33745456231
-
-
Technical Report 1530, Computer Sciences, University of Wisconsin-Madison
-
Zhu, Xiaojin. Semi-supervised learning literature survey. Technical Report 1530, Computer Sciences, University of Wisconsin-Madison, 2008.
-
(2008)
Semi-supervised Learning Literature Survey
-
-
Zhu, X.1
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