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" Golowich, and A. Smola. Support Vector Method for Function Approximation, Regression Estimation and Signal Processing. "
Advances in Kernel Methods: Support Vector Learning - Page 368
by Bernhard Schölkopf, Christopher J. C. Burges - 1999 - 376 pages
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Nonlinear Modeling: Advanced Black-Box Techniques

Johan A.K. Suykens, Joos Vandewalle - Language Arts & Disciplines - 1998 - 256 pages
...Zeichenerkennung Akademia- Verlag, Berlin, 1979.) [7] Vapnik, V., Golowich, S. and Smola, A. (1997). Support vector method for function approximation, regression estimation and signal processing. In Advances in Neural Information Processing Systems, 9., MIT Press. 4 PARAMETRIC DENSITY ESTIMATION FOR...
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Feedforward Neural Network Methodology

Terrence L. Fine - Computers - 1999 - 340 pages
...Statistical Learning Theory, Springer- Verlag, New York. [242] Vapnik, VN, S. Golowich, A. Smola [1997], Support vector method for function approximation,...estimation, and signal processing, in M. Mozer, M. Jordan, T. Petsche, eds., Advances in Neural Information Processing Systems 9, MIT Press, Cambridge, MA, 281287....
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Advances in Neural Information Processing Systems 12: Proceedings of the ...

Sara A. Solla, Todd K. Leen, Klaus-Robert Müller - Computers - 2000 - 1080 pages
...regression. Statistics and Computing, 1998. In press: also, COLT Technical Report TR-1998-030. [10] V. Vapnik, S. Golowich, and A. Smola. Support vector...approximation, regression estimation, and signal processing. Advances in Neural Information Processing Systems, 9:281-287, 1996. [II] OL Mangarasian. Generalized...
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Pattern Recognition: From Classical to Modern Approaches

Sankar K. Pal, Pal. Amita - Computers - 2001 - 635 pages
...[74] V. Vapnik. The Nature of Statistical Learning. New York: SpringerVerlag 1995. [75] V. Vapnik, SE Golowich, and A. Smola. Support vector method for...processing. in M. Mozer, M. Jordan, and T. Petsche (Eds.): Advances in Neural lnformation Processing Systems 9, Cambridge, MA: The MlT Press 1997, 281-287....
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Advanced Mathematical & Computational Tools in Metrology V

P. Ciarlini - Mathematics - 2001 - 372 pages
...Data mining and pattern recognition, 2(2), pages 121-167, (1998). 3. VN Vapnik, SE Golowich, and AJ Smola. Support vector method for function approximation,...processing. In M. Mozer, M. Jordan, and T. Petsche, editors, Neural Information Processing Systems, Vol. 9. (MIT Press, Cambridge, MA, US, 1997). 4. R. Fletcher....
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Pacific Symposium on Biocomputing 2002, Kauai, Hawaii, 3-7 January 2002

Russ B. Altman - Biology - 2001 - 703 pages
...9. VN Vapnik. The nature of statistical learning theory. Springer Verlag, Heidelberg, DE, 1995. 10. V. Vapnik, S. Golowich, and A. Smola. Support vector...approximation, regression estimation, and signal processing. In MC Mozer, MI Jordan, and T. Petsche, editors, Advances in Neural Information Processing Systems, volume...
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Handbook of Neural Network Signal Processing

Yu Hen Hu, Jenq-Neng Hwang - Technology & Engineering - 2001 - 408 pages
...Vapnik. The Nature of Statistical Learning Theory. Springer, Verlag, New York, 1995. [41] V. Vapnik, SE Golowich, and A. Smola. Support vector method for...approximation, regression estimation, and signal processing. In Advances in Neural 1nformation Processing Systems 9, 281,287. Morgan Kaufmann Publishers, 1nc., San...
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Simplicial Algorithms for Minimizing Polyhedral Functions

M. R. Osborne - Computers - 2001 - 247 pages
...Vapnik, The Nature of Statistical Learning Theory, Springer- Verlag, Berlin, 1995. [66} V. Vapnik, SE Golowich, and A. Smola, Support vector method for...approximation, regression estimation, and signal processing, in Advances in Neural Information Processing Systems (MC Mozer, M. l. Jordan, and T. Petsche, eds.), MIT...
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Foundations of Bayesianism

D. Corfield, Jon Williamson - Business & Economics - 2001 - 413 pages
...pages 659-664. MIT Press, 2000. [Vapnik et al., 1997] Vladimir Vapnik, Steven E. Golowich, and Alex Smola. Support vector method for function approximation, regression estimation, and signal processing. In Michael C. Mozer, Michael I. Jordan, and Thomas Petsche, editors, Advances in Neural Information Processing...
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Data Mining Techniques

Arun K. Pujari - Data mining - 2001 - 288 pages
...Moscow. 1979. (English translation: 1982, Springer Verlag, New York) Vapnik V., Golowich SE, and Smola A. Support vector method for function approximation, regression estimation and signal processing. In Advances in Neural Information Processing Systems, 9, (eds.) Mozer MC, Jordan MI and Petsch T., MIT...
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Artificial Neural Networks-Icann 2002: International Conference, Madrid ...

José Dorronsoro - Computers - 2002 - 1382 pages
...EUSIPCO'OO, Finland, Sept 2000. 3. B. Schoelkopf and A. Smola. Learning with kernels. MIT Press, 2001. 4. VN Vapnik, S. Golowich, and A. Smola. Support vector...processing. In M. Mozer, M. Jordan, and T. Petsche, ads, NIPS 1997, pages 169-184. 5. VN Vapnik. Statistical Learning Theonj. Wiley, 1998. Detecting the...
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Intelligent Applications in a Material World Select Papers from IPMM-2001

John A. Meech - Technology & Engineering - 2002 - 952 pages
...statistical learning theory. Springer- Verlag, New York. 9. Vapnik, V., Golowich, SE, Smola, A., 1997. Support vector method for function approximation,...processing. In: M. Mozer, M. Jordan, and T. Petsche (eds.): Neural Information Processing Systems, Vol. 9, MIT Press, Cambridge, MA. 10. Gunn, SR, Brown,...
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Least Squares Support Vector Machines

Johan A. K. Suykens, Tony Van Gestel, Jos De Brabanter - Computers - 2002 - 294 pages
...Statistical Learuing Theory, SpringerVerlag, New York. [280] Vapnik V., Golowich S., Smola A. (1997) "Support vector method for function approximation, regression estimation, and signal processing", In Mozer M-, Jordan M., Petsche T. (Eds.) Advances in Neural Information Processing Systems 9, 281-287,...
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Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 ...

Shahar Mendelson, Alexander J. Smola - Computers - 2003 - 257 pages
...12(11):2719-2741, 2000. 75. V. Vapnik. The Nature of Stattstical Learning Theory. Springer, New York, 1995. 76. V. Vapnik, S. Golowich, and A. Smola. Support vector...approximation, regression estimation, and signal processing. In MC Mozer, MI Jordan, and T. Petsche, editors, Advances in Neural Information Processing Systems 9,...
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Recent Advances in Intelligent Paradigms and Applications

Ajith Abraham, L. C. Jain, Janusz Kacprzyk - Computers - 2003 - 272 pages
...Algorithms, World Scientific Publishing Company, Singapore, 1996. [96] Vapnik V., Golowich S., and Smola A., Support vector method for function approximation, regression estimation, and signal processing. In Mozer M., Jordan M., and Petsche T. (Eds.), Advances in Neural Information Processing Systems 9, Cambridge,...
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Neural Information Processing: Research and Development

Jagath Chandana Rajapakse, Lipo Wang - Computers - 2004 - 478 pages
...IEEE, 2000. 30. VN Vapnik. The Nature of Statistical Learning Theory. Springer, New York, 1995. 31. VN Vapnik, S. Golowich, and A. Smola. Support Vector...Signal Processing. In M. Mozer, M. Jordan, and T. Petshe, editors, Advances in Neural Information Processing Systems, volume 9, pages 281—287, Cambridge,...
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Genetic Programming: 7th European Conference, EuroGP 2004, Coimbra ..., Volume 7

Maarten Keijzer - Computers - 2004 - 410 pages
...Programming (EuroGP-2003), volume 2610 of LNCS, pages 70-82, Essex, UK, 2003. Springer Verlag. 15. V. Vapnik, S. Golowich, and A. Smola. Support Vector...Approximation, Regression Estimation and Signal Processing. In Advances in Neural Information Processing Systems 9, pages 281-287, Cambridge, MA, 1996. Saving Effort...
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Structural Reliability: Statistical Learning Perspectives

Jorge E. Hurtado - Computers - 2004 - 257 pages
...Chervonenkis. Teoria raspoznabania obratsov [Theory of Pattern Recognition]. Nauka, Moscow, 1974. 178. VN Vapnik, S. Golowich, and A. Smola. Support vector...approximation, regression estimation and signal processing. Advances in Neural Information Processing Systems, 9:281 - 287, 1996. 179. B. Vidanovic. Statistical...
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Neural Networks: A Classroom Approach

Satish Kumar - Neural networks (Computer science) - 2004 - 736 pages
...Intl Journal Man-Machine Studies, 12,1 (1980): 11-23. [556] Vapnik, V., Golowich, SE, and Smola, A., 'Support vector method for function approximation, regression estimation and signal processing', in Advances in Neural Information Processing Systems (1997), MC Mozer, MI Jordan, and T. Petsche (eds.)....
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Advances in Natural Computation: Pt. 2: First International Conference, ICNC ...

Lipo Wang, Ke Chen, Yew Soon Ong - Computers - 2005 - 1292 pages
...Scholkopf: A tutorial on support vector regression. Sept. 2003. 13. VN Vapnik, SE Golowich, and AJ Smola: Support vector method for function approximation, regression estimation and signal processing. 1996. 14. KR Muller, A. Smola, G. Ratsch, B. Scholkopf, J. Kohlmorgen, and V. Vapnik: Predicting time...
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