Ordinal regression with K-SVCR machines

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

Volumn 2084 LNCS, Issue PART 1, 2001, Pages 661-668

  Angulo, Cecilio ^a   Català, Andreu ^b  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b European Lab on Intelligent Systems and Advanced Control   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE LEARNING; ARTIFICIAL INTELLIGENCE; REGRESSION ANALYSIS;

LEARNING ARCHITECTURES; LEARNING MACHINES; MULTIPLE CLASS; ORDINAL REGRESSION; REGRESSION PROBLEM; SUPPORT VECTOR;

REGRESSION ANALYSIS; LEARNING SYSTEMS;

EID: 31444437543     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45720-8_79     Document Type: Conference Paper

References (5)

1. [AC00] Angulo, C., Catala, A.: K-SVCR. A multi-class support vector machine. Proc. ECML'00, Lecture Notes in Artificial Intelligence 1810 (2000) 31-38.
2. [B98] Burges, C.J.C.:A Tutorial on support vector machines for pattern recognition. Data Mining And Knowledge Discovery 2 (1998) 1-47.
3. [HGO99] Herbrich, R., Graepel, T., Obermayer, K.:Support vector learning for ordinal regression. Proc. ICANN'99 (1999) 97-102.
4. [P99] Phillips, P.J.: Support vector machines applied to face recognition. In Advances in NIPS 11 (1999).
5. [S90] Sobel, M.:Complete ranking procedures with appropriate loss functions. Communications in Statistics - Theory and Methods 19(12) (1990) 4525-4544.