On the Noise Model of Support Vector Machines Regression-Reference-Cited by-同舟云学术

On the Noise Model of Support Vector Machines Regression

Published:2000 Issue: Volume: Page:316-324
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Pontil Massimiliano,Mukherjee Sayan,Girosi Federico

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-40992-0_24

Reference11 articles.

1. T. Evgeniou, M. Pontil, and T. Poggio. Regularization networks and support vector machines. Advances in Computational Mathematics, 13:1–50, 2000.

2. F. Girosi. Models of noise and robust estimates. A.I. Memo 1287, Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 1991. ftp://publications.ai.mit.edu/ai-publications/1000-1499/AIM-1287.ps .

3. F. Girosi. An equivalence between sparse approximation and Support Vector Machines. Neural Computation, 10(6):1455–1480, 1998.

4. F. Girosi, M. Jones, and T. Poggio. Regularization theory and neural networks architectures. Neural Computation, 7:219–269, 1995.

5. P.J. Huber. Robust Statistics. John Wiley and Sons, New York, 1981.

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