How to do multi-way classification with two-way classifiers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2714, Issue , 2003, Pages 375-382

  Cutzu, Florin ^a  

^a INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTERS;

CLASS J; CLASSIFICATION MODELS; MULTI-WAY CLASSIFICATION; PAIRWISE CLASSIFIERS; TWO WAYS; UNKNOWN CLASS;

NEURAL NETWORKS;

EID: 35248824971     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44989-2_45     Document Type: Article

References (7)

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2. Jerome H. Friedman. Another approach to polychotomous classification. Technical report, Stanford University, 1996.
3. Trevor Hastie and Robert Tibshirani. Classification by pairwise coupling. In Michael I. Jordan, Michael J. Kearns, and Sara A. Solla, editors, Advances in Neural Information Processing Systems, volume 10. The MIT Press, 1998.
4. Eddy Mayoraz and Ethem Alpaydin. Support vector machines for multi-class classification. In IWANN (2), pages 833-842, 1999.
5. Volker Roth. Probabilistic discriminative kernel classifiers for multi-class problems. Lecture Notes in Computer Science, 2191:246-266, 2001.
6. Jürgen Schürmann. Patern Classification. A Unified View of Statistical and Neural Principles. John Wiley & Sons, Inc, New York, NA, 1996.
7. B. Zadrozny. Reducing multiclass to binary by coupling probability estimates, 2001.