SCOPUS 정보 검색 플랫폼

Advances in Neural Information Processing Systems

Volumn , Issue , 2003, Pages

Parametric mixture models for multi-labeled text

(2) Ueda, Naonori a Saito, Kazumi a

a Nippon Telegraph and Telephone Corporation (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; TEXT PROCESSING; WORLD WIDE WEB;

BINARY CLASSIFICATION APPROACH; BINARY CLASSIFIERS; BINARY METHOD; EFFICIENT LEARNING; GENERATIVE MODEL; PARAMETRIC MIXTURE MODEL; PREDICTION ALGORITHMS; TEXT CATEGORIZATION;

MIXTURES;

EID: 84898954552 PISSN: 10495258 EISSN: None Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper

Times cited : (188)

References (9)

1
- 9444259451
- Latent dirichlet allocation
- to appear MIT Press
- D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent Dirichlet allocation. to appear Advances in Neural Information Processing Systems 14. MIT Press.
- Advances in Neural Information Processing Systems , vol.14
- Blei, D.M.¹ Ng, A.Y.² Jordan, M.I.³

2
- 0002629270
- Maximum likelihood from incomplete data via the EM algorithm
- A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society B, 39: 1-38. 1977.
- (1977) Journal of the Royal Statistical Society B , vol.39 , pp. 1-38
- Dempster, A.P.¹ Laird, N.M.² Rubin, D.B.³

3
- 0002205930
- Inductive learning algorithms and representations for text categorization
- S. T. Dumais, J. Platt, D. Heckerman, & M. Sahami. Inductive learning algorithms and representations for text categorization. In Proc. of ACM-CIKM'98, 1998.
- (1998) Proc. of ACM-CIKM'98
- Dumais, S.T.¹ Platt, J.² Heckerman, D.³ Sahami, M.⁴

4
- 84957069814
- Text categorization with support vector machines: Learning with many relevant features
- Berlin
- T. Joachims. Text categorization with support vector machines: Learning with many relevant features. In Proc. of the European Conference on Machine Learning, 137-142, Berlin, 1998.
- (1998) Proc. of the European Conference on Machine Learning , pp. 137-142
- Joachims, T.¹

5
- 0001214384
- A comparison of two learning algorithms for text categorization
- D. Lewis & M. Ringuette. A comparison of two learning algorithms for text categorization. In Third Anual Symposium on Document Analysis and Information Retrieval, 81-93. 1994.
- (1994) Third Anual Symposium on Document Analysis and Information Retrieval , pp. 81-93
- Lewis, D.¹ Ringuette, M.²

6
- 0003260442
- Combining statistical learning with knowledge-based approach. A case study in intensive care monitoring
- K. Morik, P. Brockhausen, and T. Joachims. Combining statistical learning with knowledge-based approach. A case study in intensive care monitoring. In Proc. of International Conference on Machine Learning (ICML'99), 1999.
- (1999) Proc. of International Conference on Machine Learning (ICML'99)
- Morik, K.¹ Brockhausen, P.² Joachims, T.³

7
- 0033886806
- Text classification from labeled and unlabeled documents using EM
- K. Nigam, A. K. McCallum, S. Thrun, & T. Mitchell. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39: 103-134, 2000.
- (2000) Machine Learning , vol.39 , pp. 103-134
- Nigam, K.¹ McCallum, A.K.² Thrun, S.³ Mitchell, T.⁴

8
- 0003141935
- A comparative study on feature selection in text categorization
- Y. Yang & J. Pederson. A comparative study on feature selection in text categorization. In Proc of International Conference on Machine Learning, 412-420, 1997.
- (1997) Proc of International Conference on Machine Learning , pp. 412-420
- Yang, Y.¹ Pederson, J.²

9
- 0003991806
- John Wiley & Sons, Inc., New York
- V. N. Vapnik. Statistical learning theory. John Wiley & Sons, Inc., New York. 1998.
- (1998) Statistical Learning Theory
- Vapnik, V.N.¹

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.