683 search results - page 51 / 137 » Generalization Bounds for Learning Kernels |
167
Voted
COMPGEOM
2011
ACM
14 years 7 months ago
2011
ACM
We report on a generic uni- and bivariate algebraic kernel that is publicly available with Cgal 3.7. It comprises complete, correct, though efficient state-of-the-art implementati...
194
Voted
SAGA
2009
Springer
15 years 10 months ago
2009
Springer
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
146
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ICANN
2001
Springer
15 years 8 months ago
2001
Springer
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
124
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TCS
2010
15 years 2 months ago
2010
This paper concerns learning binary-valued functions defined on IR, and investigates how a particular type of ‘regularity’ of hypotheses can be used to obtain better generali...
110
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ICDM
2008
IEEE
15 years 10 months ago
2008
IEEE
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...