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ISNN
2007
Springer
16 years 24 days ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan
IWANN
2007
Springer
16 years 24 days ago
An EA Multi-model Selection for SVM Multiclass Schemes
Multiclass problems with binary SVM classifiers are commonly treated as a decomposition in several binary sub-problems. An open question is how to properly tune all these sub-prob...
Gilles Lebrun, Olivier Lezoray, Christophe Charrie...
IWOMP
2007
Springer
16 years 24 days ago
Parallel Data Flow Analysis for OpenMP Programs
The paper presents a compiler framework for analyzing and optimizing OpenMP programs. The framework includes Parallel Control Flow Graph and Parallel Data Flow equations based on t...
Lei Huang, Girija Sethuraman, Barbara M. Chapman
KES
2007
Springer
16 years 24 days ago
Making Financial Trading by Recurrent Reinforcement Learning
In this paper we propose a financial trading system whose strategy is developed by means of an artificial neural network approach based on a recurrent reinforcement learning algo...
Francesco Bertoluzzo, Marco Corazza
180
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MIRAGE
2007
Springer
16 years 24 days ago
A Note on the Discrete Binary Mumford-Shah Model
Abstract. This paper is concerned itself with the analysis of the twophase Mumford-Shah model also known as the active contour without edges model introduced by Chan and Vese. It c...
Jérôme Darbon