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» Algebraic Methods for Optimization Problems
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99
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ICASSP
2011
IEEE
14 years 2 months ago
Regularized split gradient method for nonnegative matrix factorization
This article deals with a regularized version of the split gradient method (SGM), leading to multiplicative algorithms. The proposed algorithm is available for the optimization of...
Henri Lantéri, Céline Theys, C&eacut...
74
Voted
NIPS
2000
14 years 11 months ago
APRICODD: Approximate Policy Construction Using Decision Diagrams
We propose a method of approximate dynamic programming for Markov decision processes (MDPs) using algebraic decision diagrams (ADDs). We produce near-optimal value functions and p...
Robert St-Aubin, Jesse Hoey, Craig Boutilier
82
Voted
DAGM
2006
Springer
15 years 1 months ago
Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
Mikio L. Braun, Tilman Lange, Joachim M. Buhmann
ICASSP
2011
IEEE
14 years 2 months ago
Non-linear noise compensation for robust speech recognition using Gauss-Newton method
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
Yong Zhao, Biing-Hwang Juang
106
Voted
LION
2007
Springer
198views Optimization» more  LION 2007»
15 years 4 months ago
Multiobjective Landscape Analysis and the Generalized Assignment Problem
The importance of tuning a search algorithm for the specific features of the target search space has been known for quite some time. However, when dealing with multiobjective prob...
Deon Garrett, Dipankar Dasgupta