Tree-structured support vector machines for multi-class classification

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

Volumn 4493 LNCS, Issue PART 3, 2007, Pages 392-398

  Siyu, Xia ^a   Jiuxian, Li ^a   Liangzheng, Xia ^a   Chunhua, Ju ^b  

^a SOUTHEAST UNIVERSITY   (China)

^b ZHEJIANG GONGSHANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY TREES; DECISION MAKING; PROBLEM SOLVING; TREES (MATHEMATICS);

TRAINING PHASES;

SUPPORT VECTOR MACHINES;

EID: 38049172856     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (6)

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2. Piatt, J.C., Cristianini, N., Shawe-Taylor, J.: Large Margin DAGs for Multiclass Classification, Advances in Neural Information Processing Systems 12 (2000) 547-553
3. Friedman, J.: Another approach to polychotomous classification, Stanford University, Department of Statistics (1996)
4. Hsu, C.W., Lin, C.J.: A comparison of methods for multiclass support vector machines, IEEE Trans Neural Networks 13 (2002) 415-425
5. Shi, Z.H., Wang, X.D., Zhao, S.M., Yang, J.X.: An Improved Algorithm for SVM Decision Tree, Journal of Air Force Engineering University 7 (2006) 32-35
6. Platt, J.: Sequential minimal optimization: A fast algorithm for training support vector machines, Technical Report 98-14, Microsoft Research, Redmond, Washington, April (1998)