-
2
-
-
0031620208
-
Combining labeled and unlabeled data with co-training
-
Blum, A., and Mitchell, T. (1998). Combining labeled and unlabeled data with co-training. COLT-98.
-
(1998)
COLT-98
-
-
Blum, A.1
Mitchell, T.2
-
3
-
-
9444244214
-
Exploiting relations among concepts to acquire weakly labeled training data
-
Bockhorst, J., and Craven, M. (2002). Exploiting relations among concepts to acquire weakly labeled training data. ICML-02.
-
(2002)
ICML-02
-
-
Bockhorst, J.1
Craven, M.2
-
4
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Dempster, A., Laird, N. M. and Rubin, D. (1977). Maximum likelihood from incomplete data via the EM algorithm. J. of the Royal Stat. Society, B:39, 1-38.
-
(1977)
J. of the Royal Stat. Society
, vol.B
, pp. 39
-
-
Dempster, A.1
Laird, N.M.2
Rubin, D.3
-
5
-
-
0004734838
-
PAC learning from positive statistical queries
-
Penis, F. (1998). PAC learning from positive statistical queries. ALT-1998.
-
(1998)
ALT-1998
-
-
Penis, F.1
-
6
-
-
14344263553
-
Combining labeled and unlabeled data for multiclass text categorization
-
Ghani, R. (2002). Combining labeled and unlabeled data for multiclass text categorization. ICML-02.
-
(2002)
ICML-02
-
-
Ghani, R.1
-
7
-
-
0007950880
-
Enhancing supervised learning with unlabeled data
-
Goldman, S. and Zhou, Y. (2000). Enhancing supervised learning with unlabeled data. ICML-00.
-
(2000)
ICML-00
-
-
Goldman, S.1
Zhou, Y.2
-
9
-
-
0000636553
-
Text categorization with support vector machines: Learning with many relevant features
-
Joachims, T. (1998). Text categorization with support vector machines: Learning with many relevant features. ECML-98.
-
(1998)
ECML-98
-
-
Joachims, T.1
-
10
-
-
85013879626
-
A sequential algorithm for training text classifiers
-
Lewis, D., and Gale, W. (1994). A sequential algorithm for training text classifiers. SIGIR-94.
-
(1994)
SIGIR-94
-
-
Lewis, D.1
Gale, W.2
-
11
-
-
0742311711
-
Partially supervised classification of text documents
-
Liu, B., Lee, W. S., Yu, P., and Li, X. (2002). Partially supervised classification of text documents. ICML-02.
-
(2002)
ICML-02
-
-
Liu, B.1
Lee, W.S.2
Yu, P.3
Li, X.4
-
13
-
-
0000314722
-
Employing EM and pool-based active learning for text classification
-
McCallum, A., and Nigam. K. (1998b). Employing EM and pool-based active learning for text classification. ICML-98.
-
(1998)
ICML-98
-
-
McCallum, A.1
Nigam, K.2
-
15
-
-
0033886806
-
Text classification from labeled and unlabeled documents using EM
-
Nigam, K., McCallum, A., Thrun, S., and Mitchell, T. (2000). Text classification from labeled and unlabeled documents using EM. Machine Learning, 39.
-
(2000)
Machine Learning
, pp. 39
-
-
Nigam, K.1
McCallum, A.2
Thrun, S.3
Mitchell, T.4
-
18
-
-
0042377235
-
Constrained k-means clustering with background knowledge
-
Wagstaff, K., Cardie, C., Rogers, S., and Schroedl, S. (2001). Constrained k-means clustering with background knowledge. ICML-01.
-
(2001)
ICML-01
-
-
Wagstaff, K.1
Cardie, C.2
Rogers, S.3
Schroedl, S.4
-
19
-
-
0003141935
-
A comparative study on feature selection in text categorization
-
Yang, Y. and Pedersen J. P. (1997). A comparative study on feature selection in text categorization. ICML-97.
-
(1997)
ICML-97
-
-
Yang, Y.1
Pedersen, J.P.2
-
20
-
-
0011399035
-
PEBL: Positive example based learning for Web page classification using SVM
-
Yu, H., Han, J., Chang, K. (2002). PEBL: Positive example based learning for Web page classification using SVM. KDD-02.
-
(2002)
KDD-02
-
-
Yu, H.1
Han, J.2
Chang, K.3
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