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ML
2002
ACM
129views Machine Learning» more  ML 2002»
15 years 6 months ago
Model Selection for Small Sample Regression
Model selection is an important ingredient of many machine learning algorithms, in particular when the sample size in small, in order to strike the right trade-off between overfitt...
Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio
MOC
2002
151views more  MOC 2002»
15 years 6 months ago
Mixed finite element methods for unilateral problems: convergence analysis and numerical studies
In this paper, we propose and study different mixed variational methods in order to approximate with finite elements the unilateral problems arising in contact mechanics. The discr...
Patrice Coorevits, Patrick Hild, Khalid Lhalouani,...
NHM
2010
73views more  NHM 2010»
15 years 1 months ago
The heterogeneous multiscale finite element method for advection-diffusion problems with rapidly oscillating coefficients and la
Abstract. This contribution is concerned with the formulation of a heterogeneous multiscale finite elements method (HMM) for solving linear advectiondiffusion problems with rapidly...
Patrick Henning, Mario Ohlberger
SIAMMA
2010
62views more  SIAMMA 2010»
15 years 1 months ago
Transmission Eigenvalues for Operators with Constant Coefficients
In this paper we study the interior transmission problem and transmission eigenvalues for multiplicative perturbations of linear partial differential operator of order 2 with cons...
Michael Hitrik, Katsiaryna Krupchyk, Petri Ola, La...
ICASSP
2011
IEEE
14 years 10 months ago
Signal extrapolation using Empirical Mode Decomposition with financial applications
In order to extrapolate a signal, Empirical Mode Decomposition is used to decompose it into simpler components. Each component is individually extrapolated linearly, and the fina...
Nikolaos Tsakalozos, Konstantinos Drakakis, Scott ...