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NECO
2007
108views more  NECO 2007»
13 years 10 months ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
QUESTA
1998
93views more  QUESTA 1998»
13 years 11 months ago
An approximation method for complete solutions of Markov-modulated fluid models
This paper presents an approximation method for numerically solving general Markov modulated fluid models which are widely used in modelling communications and computer systems. ...
David D. McDonald, Kun Qian
FAC
2007
122views more  FAC 2007»
13 years 11 months ago
Formal techniques for performance analysis: blending SAN and PEPA
Abstract. In this paper we consider two performance modelling techniques from the perspectives of model construction, generation of an underlying continuous time Markov process, an...
Jane Hillston, Leïla Kloul
EC
2006
97views ECommerce» more  EC 2006»
13 years 11 months ago
A Step Forward in Studying the Compact Genetic Algorithm
The compact Genetic Algorithm (cGA) is an Estimation of Distribution Algorithm that generates offspring population according to the estimated probabilistic model of the parent pop...
Reza Rastegar, Arash Hariri