-
1
-
-
84957069814
-
Text categorization with support vector machines: Learning with Many Relevant Features
-
Chemnitz, Germany, April 21 - 24
-
Joachims, T.: Text categorization with support vector machines: Learning with Many Relevant Features. In Proceedings of the European Conference on Machine Learning. Chemnitz, Germany, April 21 - 24, 137-142 (1998).
-
(1998)
Proceedings of the European Conference On Machine Learning
, pp. 137-142
-
-
Joachims, T.1
-
2
-
-
0001409330
-
Naïve Bayes at forty: The independence assumption in information retrieval
-
Chemnitz, Germany, April 21 - 24
-
Lewis, D. D.: Naïve Bayes at forty: The independence assumption in information retrieval. In Proceedings of the European Conference on Machine Learning. Chemnitz, Germany, April 21 - 24 (1998).
-
(1998)
Proceedings of the European Conference On Machine Learning
-
-
Lewis, D.D.1
-
3
-
-
0027021016
-
Classifying news stories using memory based reasoning
-
Copenhagen, Denmark, June 21 - 24
-
Masand, B., Linoff, G., Waltz, D.: Classifying news stories using memory based reasoning. In Proceedings of the 15th International ACM/SIGIR Conference on Research & Development in Information Retrieval. Copenhagen, Denmark, June 21 - 24, 59-64 (1992).
-
(1992)
Proceedings of the 15th International ACM/SIGIR Conference On Research & Development In Information Retrieval
, pp. 59-64
-
-
Masand, B.1
Linoff, G.2
Waltz, D.3
-
4
-
-
0030651099
-
Feature selection, perception learning and a usability case study for text categorization
-
Philadelphia, PA, USA, July 27-31
-
Ng, T. H., Goh, W. B., Low, K. L.: Feature selection, perception learning and a usability case study for text categorization. In Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Philadelphia, PA, USA, July 27-31, 1997.
-
(1997)
Proceedings of the 20th Annual International ACM SIGIR Conference On Research and Development In Information Retrieval
-
-
Ng, T.H.1
Goh, W.B.2
Low, K.L.3
-
5
-
-
85024373635
-
An re-examination of text categorization
-
Berkeley, CA, USA, August 15-19
-
Yang, Y. & Liu, X.: An re-examination of text categorization. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Berkeley, CA, USA, August 15-19, 1999.
-
(1999)
Proceedings of the 22nd Annual International ACM SIGIR Conference On Research and Development In Information Retrieval
-
-
Yang, Y.1
Liu, X.2
-
7
-
-
0031620208
-
Combining labeled and unlabeled data with Co-Training
-
Madison, Wisconsin, July 24-26, 92-100
-
Blum, A., Mitchell, T.: Combining labeled and unlabeled data with Co-Training. In Proceedings of the 11th Annual Conference on Computational Learning Theory. Madison, Wisconsin, July 24-26, 92-100 (1998).
-
(1998)
Proceedings of the 11th Annual Conference On Computational Learning Theory
-
-
Blum, A.1
Mitchell, T.2
-
8
-
-
0033886806
-
Text classification from labeled and unlabeled documents using EM
-
Nigam, K., McCallurn, A. K., Thrun, S., Mitchell, T.: 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
McCallurn, A.K.2
Thrun, S.3
Mitchell, T.4
-
10
-
-
0002096830
-
Document Clustering using Word Clusters via the Information Bottleneck Method
-
Athens, Greece, July 24-28, 208--215
-
Slonim, N., Tishby, N.: Document Clustering using Word Clusters via the Information Bottleneck Method. In Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Athens, Greece, July 24-28, 208--215 (2000).
-
(2000)
Proceedings of the 23rd Annual International ACM SIGIR Conference On Research and Development In Information Retrieval
-
-
Slonim, N.1
Tishby, N.2
-
11
-
-
78149329777
-
CBC: Clustering based text classification requiring minimal labeled data
-
Melbourne, Florida, USA, November 19 - 22
-
Zeng, H. J., Wang, X. H., Chen, Z., Ma, W. Y.: CBC: Clustering based text classification requiring minimal labeled data. In Proceedings of the 3rd IEEE International Conference on Data Mining. Melbourne, Florida, USA, November 19 - 22, 2003.
-
(2003)
Proceedings of the 3rd IEEE International Conference On Data Mining
-
-
Zeng, H.J.1
Wang, X.H.2
Chen, Z.3
Ma, W.Y.4
-
12
-
-
77952390455
-
Classifying large data sets using SVMs with hierarchical clusters
-
Washington, DC, USA
-
Yu, H., Yang, J., Han, J.: Classifying large data sets using SVMs with hierarchical clusters. in Proceedings of the 9th ACM SIGKDD 2003, Washington, DC, USA, 2003.
-
(2003)
Proceedings of the 9th ACM SIGKDD 2003
-
-
Yu, H.1
Yang, J.2
Han, J.3
-
14
-
-
73349111849
-
Text classification aided by clustering: A literature review
-
2008
-
Kyriakopoulou, A.: (2008). Text classification aided by clustering: a literature review. Tools in Artificial Inteligence, 233-252, 2008.
-
(2008)
Tools In Artificial Inteligence
, pp. 233-252
-
-
Kyriakopoulou, A.1
-
15
-
-
0036454664
-
Semi-supervised support vector machines for unlabeled data classification
-
Fung, G., Mangasarian, O.L.: (2001). Semi-supervised support vector machines for unlabeled data classification. Optim. Methods Software, 2001, v15 i1. 29-44.
-
(2001)
Optim. Methods Software
, vol.15
, pp. 29-44
-
-
Fung, G.1
Mangasarian, O.L.2
-
18
-
-
0242625239
-
Combining clustering and co-training to enhance text classification using unlabelled data
-
Edmonton, Alberta, Canada, July 23 - 26
-
Raskutti, B., Ferrá, H., Kowalczyk, A.: (2002). Combining clustering and co-training to enhance text classification using unlabelled data. In Proceedings of the 8th ACM SIGKDD international conference on Knowledge discovery and data mining. Edmonton, Alberta, Canada, July 23 - 26, 2002.
-
(2002)
Proceedings of the 8th ACM SIGKDD International Conference On Knowledge Discovery and Data Mining
, pp. 2002
-
-
Raskutti, B.1
Ferrá, H.2
Kowalczyk, A.3
-
19
-
-
76749106573
-
A multiobjective simultaneous learning framework for clustering and classification
-
Cai, W., Chen, S., Zhang, D.: A multiobjective simultaneous learning framework for clustering and classification. IEEE Transactions on Neural Networks, 21(2): 185-200, 2010.
-
(2010)
IEEE Transactions On Neural Networks
, vol.21
, Issue.2
, pp. 185-200
-
-
Cai, W.1
Chen, S.2
Zhang, D.3
-
20
-
-
84873140892
-
-
Pattern Recognition, October 27
-
Qian, Q., Chen, S., Cai, W.: Simultaneous clustering and classification over cluster structure representation. Pattern Recognition, 2011, October 27
-
(2011)
Simultaneous Clustering and Classification Over Cluster Structure Representation
-
-
Qian, Q.1
Chen, S.2
Cai, W.3
-
21
-
-
50649084677
-
Cluster kernels for semi-supervised learning
-
Chapelle, O., Weston, J., Scholkopf, B.: Cluster kernels for semi-supervised learning. Advances in Neural Information Processing Systems In NIPS 2002, Vol. 15 (2003), 585-592.
-
(2002)
Advances In Neural Information Processing Systems In NIPS
, vol.15
, Issue.2003
, pp. 585-592
-
-
Chapelle, O.1
Weston, J.2
Scholkopf, B.3
-
22
-
-
84899006908
-
Learning with local and global consistency
-
Zhou, D., Bousquet, O., Lal, T. N., Weston, J., Scholkopf, B.: Learning with local and global consistency. Advances in Neural Information Processing Systems 16, 321-328, 2004.
-
(2004)
Advances In Neural Information Processing Systems
, vol.16
, pp. 321-328
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Scholkopf, B.5
-
24
-
-
59549087165
-
On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes
-
Ng, A. Y., Jordan, M. I.: On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes. Advances in Neural Information Processing Systems 14, 2002.
-
(2002)
Advances In Neural Information Processing Systems 14
-
-
Ng, A.Y.1
Jordan, M.I.2
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