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COR
2006
95views more  COR 2006»
15 years 7 months ago
Hybrid meta-heuristics algorithms for task assignment in heterogeneous computing systems
In this paper we tackle the task assignment problem (TSAP) in heterogeneous computer systems. The TSAP consists of assigning a given distributed computer program formed by a numbe...
Sancho Salcedo-Sanz, Yong Xu, Xin Yao
ICANN
2010
Springer
15 years 8 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel
OL
2011
332views Neural Networks» more  OL 2011»
15 years 2 months ago
A robust implementation of a sequential quadratic programming algorithm with successive error restoration
We consider sequential quadratic programming (SQP) methods for solving constrained nonlinear programming problems. It is generally believed that SQP methods are sensitive to the a...
Klaus Schittkowski
ICANN
2007
Springer
16 years 1 months ago
Incremental and Decremental Learning for Linear Support Vector Machines
Abstract. We present a method to find the exact maximal margin hyperplane for linear Support Vector Machines when a new (existing) component is added (removed) to (from) the inner...
Enrique Romero, Ignacio Barrio, Lluís Belan...
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IWANN
2009
Springer
15 years 11 months ago
Stereo-MAS: Multi-Agent System for Image Stereo Processing
This article presents a distributed agent-based architecture that can process the visual information obtained by stereoscopic cameras. The system is embedded within a global projec...
Sara Rodríguez, Juan Francisco de Paz, Javi...