Universal learning curves of support vector machines

Physical Review Letters

Volumn 86, Issue 19, 2001, Pages 4410-4413

  Opper, M ^a   Urbanczik, R ^b  

^a ASTON UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF WÜRZBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; ERROR ANALYSIS; GAUSSIAN NOISE (ELECTRONIC); LEARNING SYSTEMS; NEURAL NETWORKS; OSCILLATIONS;

SUPPORT VECTOR MACHINES (SVM);

STATISTICAL MECHANICS;

EID: 0035820749     PISSN: 00319007     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevLett.86.4410     Document Type: Article

References (5)

1. V. Vapnik, The Nature of Statistical Learning Theory (Springer, New York, 1995).
2. N. Cristianini and J. Shawe-Taylor, Support Vector Machines (Cambridge University Press, Cambridge, England, 2000).
3. R. Dietrich, M. Opper, and H. Sompolinsky, Phys. Rev. Lett. 82, 2975 (1999).
4. S. Risau-Gusman and M. Gordon, Phys. Rev. E 62, 7092 (2000).
5. I. Schoenberg, Anal. Math. 39, 811-841 (1938).