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» A Geometric Functional for Derivatives Approximation
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COLT
2003
Springer
15 years 9 months ago
Learning with Rigorous Support Vector Machines
We examine the so-called rigorous support vector machine (RSVM) approach proposed by Vapnik (1998). The formulation of RSVM is derived by explicitly implementing the structural ris...
Jinbo Bi, Vladimir Vapnik
ICCS
2003
Springer
15 years 9 months ago
Monte Carlo Method for Calculating the Electrostatic Energy of a Molecule
The problem of computing the electrostatic energy of a large molecule is considered. It is reduced to solving the Poisson equation inside and the linear Poisson-Boltzmann equation ...
Michael Mascagni, Nikolai A. Simonov
NIPS
2007
15 years 5 months ago
Agreement-Based Learning
The learning of probabilistic models with many hidden variables and nondecomposable dependencies is an important and challenging problem. In contrast to traditional approaches bas...
Percy Liang, Dan Klein, Michael I. Jordan
CORR
2008
Springer
106views Education» more  CORR 2008»
15 years 4 months ago
Quantization of Prior Probabilities for Hypothesis Testing
Abstract--In this paper, Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, are quantized. Nearest neighbor and c...
Kush R. Varshney, Lav R. Varshney
AUTOMATICA
2006
86views more  AUTOMATICA 2006»
15 years 4 months ago
Averaging of nonsmooth systems using dither
It was shown by Zames and Shneydor and later by Mossaheb that a high-frequency dither signal of a quite arbitrary shape can be used to narrow the effective nonlinear sector of Lip...
Luigi Iannelli, Karl Henrik Johansson, Ulf T. J&ou...