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» A Data Locality Optimizing Algorithm
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ECML
2006
Springer
15 years 10 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 10 months ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 8 months ago
Mirrored variants of the (1, 2)-CMA-ES compared on the noiseless BBOB-2010 testbed
Derandomization by means of mirroring has been recently introduced to enhance the performances of (1, λ)-EvolutionStrategies (ESs) with the aim of designing fast robust local sea...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
WSCG
2004
149views more  WSCG 2004»
15 years 8 months ago
Shape-Preserving Parametrization of Genus 0 Surfaces
The parametrization of 3-d meshes can be used in many fields of computer graphics. Mesh-texturing, mesh-retriangulation or 3-d morphing are only few applications for which a mesh ...
Hermann Birkholz
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 7 months ago
Parameterizing pair approximations for takeover dynamics
Pair approximations have often been used to predict equilibrium conditions in spatially-explicit epidemiological and ecological systems. In this work, we investigate whether this ...
Joshua L. Payne, Margaret J. Eppstein