Sphere-structured support vector machines for multi-class pattern recognition

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

Volumn 2639, Issue , 2003, Pages 589-593

  Zhu, Meilin ^a   Wang, Yue ^a   Chen, Shifu ^a   Liu, Xiangdong ^a  

^a NANJING UNIVERSITY   (China)

Author keywords

Kernel function; Multi class pattern recognition; Quadratic programming; Spherestructured; Support vector machines

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATION THEORY; DATA MINING; FUZZY SETS; GRANULAR COMPUTING; LEARNING ALGORITHMS; PATTERN RECOGNITION; QUADRATIC PROGRAMMING; ROUGH SET THEORY; SPHERES; ALGORITHMS; LEARNING SYSTEMS; PROBLEM SOLVING;

BINARY CLASSIFICATION PROBLEMS; CONVEX QUADRATIC PROGRAMMING; KERNEL FUNCTION; MULTICLASS CLASSIFICATION PROBLEMS; MULTICLASS PATTERN RECOGNITION; SPHERE-STRUCTURED SUPPORT VECTOR MACHINES; SPHERESTRUCTURED; STATISTICAL LEARNING THEORY;

SUPPORT VECTOR MACHINES; PATTERN RECOGNITION;

BINARY CLASSIFICATION THEORY; MULTI-CLASS PROBLEM; STATISTICAL LEARNING THEORY; SUPPORT VECTOR MACHINES (SVM);

EID: 8344289122     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-39205-x_95     Document Type: Conference Paper

References (4)

1. [1] V. Vapnik, The Nature of Statistical Learning Theory, Springer-Verlag, 1995.
2. [2] U. Kreßel. Pairwise classification and support vector machines. In B. Schölkopf, C. Burges, and A. Smola, editors, Advances in Kernel Methods. The MIT Press, 1999.
3. [3] J. Weston and C. Watkins. Multi-class support vector machines. Technical Report CSDTR- 98-04, Royal Holloway, University of London, Department of Computer Science, 1998.
4. [4] Zhu Meilin, Liu Xiangdong, Chen Shifu, Solving Multi-class Pattern Recognition with Sphere-structured Support Vector Machines, Journal of Nanjing University, 2003, 39(2).