3475 search results - page 198 / 695 » Backbones in Optimization and Approximation |
178
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ESANN
2006
15 years 7 months ago
2006
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
146
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NIPS
2004
15 years 7 months ago
2004
Regularization plays a central role in the analysis of modern data, where non-regularized fitting is likely to lead to over-fitted models, useless for both prediction and interpre...
168
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JGO
2008
15 years 6 months ago
2008
This article complements the paper [7], where we showed that a compact feasible set of a standard semi-infinite optimization problem can be approximated arbitrarily well by a leve...
218
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OL
2011
15 years 1 months ago
2011
We demonstrate that the Linear Multidimensional Assignment Problem with iid random costs is polynomially "-approximable almost surely (a. s.) via a simple greedy heuristic, f...
162
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MOC
2010
15 years 1 months ago
2010
Abstract. The aim of this paper is to present and analyze a class of hpversion discontinuous Galerkin (DG) discretizations for the numerical approximation of linear elliptic proble...