Combining labeled and unlabeled data for text classification with a large number of categories

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2001, Pages 597-598

  Ghani, Rayid ^a,b  

^a Carnegie Mellon University   (United States)

^b ACCENTURE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 18744408629     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Berger, A. (1999). Error-correcting output coding for text classification. IJCAI-99: Workshop on machine learning for information filtering.
2. Blum, A., & Mitchell, T. (1998). Combining labeled and unlabeled data with co-training. COLT 1998.
3. Ghani, R. (2000). Using error-correcting codes for text classification. ICML-00.
4. Ghani, R. (2001). Using error-correcting codes for efficient text classification with a large number of categories. masters thesis (Technical Report). Center for Automated Learning and Discovery, Carnegie Mellon University.
5. Ghani, R., Slattery, S., & Yang, Y. (2001). Hypertext categorization using hyperlink patterns and meta data. ICML-01.
6. Nigam, K., & Ghani, R. (2000). Analyzing the applicability and effectiveness of co-training. CIKM-00.