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GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
13 years 9 months ago
Structure and parameter estimation for cell systems biology models
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...
Francisco José Romero-Campero, Hongqing Cao...
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 9 months ago
Accelerating convergence using rough sets theory for multi-objective optimization problems
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
Luis V. Santana-Quintero, Carlos A. Coello Coello
ICML
2010
IEEE
13 years 9 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
SIGCOMM
2010
ACM
13 years 8 months ago
Running servers around zero degrees
Data centers are a major consumer of electricity and a significant fraction of their energy use is devoted to cooling the data center. Recent prototype deployments have investigat...
Mikko Pervilä, Jussi Kangasharju
AMC
2007
111views more  AMC 2007»
13 years 8 months ago
Locating multiple optima using particle swarm optimization
Many scientific and engineering applications require optimization methods to find more than one solution to multimodal optimization problems. This paper presents a new particle ...
R. Brits, Andries Petrus Engelbrecht, F. Van den B...
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