Weighted one-against-all

Proceedings of the National Conference on Artificial Intelligence

Volumn 2, Issue , 2005, Pages 720-725

  Beygelzimer, Alina ^a   Langford, John ^b   Zadrozny, Bianca ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b TOYOTA TECHNOLOGICAL INSTITUTE AT CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PROBLEM; ERROR TRANSFORMATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ERROR ANALYSIS; MATHEMATICAL TRANSFORMATIONS; PROBLEM SOLVING;

CLASSIFICATION (OF INFORMATION);

EID: 29344431681     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Allwein, E.; Schapire, R.; and Singer, Y. 2001. Reducing multiclass to binary: A unifying approach for margin classifiers. J. of Machine Learning Research 1:113-141.
2. Beygelzimer, A.; Dani, V.; Hayes, T.; Langford, J.; and Zadrozny, B. 2004. Error limiting reductions between classification tasks. Technical Report TR04-077. Electronic Colloquium on Computational Complexity (ECCC).
3. Blake, C., and Merz, C. 1998. UCI repository of machine learning databases, http://www.ics.uci.edu/~mlearn/MLRepository.html.
4. Dietterich, T. G., and Bakiri, G. 1995. Solving multiclass learning problems via error-correcting output codes. Journal of Artificial Intelligence Research 2:263-286.
5. Guruswami, V., and Sahai, A. 1999. Multiclass learning, boosting, and error-correcting codes. In Proceedings of the 12th Annual Conference on Computational Learning Theory (COLT), 145-155.
6. Rifkin, R., and Klautau, A. 2004, In defense of one-vs-all classification. Journal of Machine Learning Research 5:101-141.
7. Witten, I. H., and Prank, E. 2000. Data Mining: Practical machine learning tools with Java implementations. San Francisco: Morgan Kaufmann. http://www.cs.waikato.ac.nz/ml/weka/,
8. Zadrozny, B.; Langford, J.; and Abe, N. 2003. Cost sensitive learning by cost-proportionate example weighting. In Proceedings of the 3rd ICDM Conference.