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ESSMAC
2003
Springer
14 years 26 days ago
Analysis of Some Methods for Reduced Rank Gaussian Process Regression
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
Joaquin Quiñonero Candela, Carl Edward Rasm...
PE
2010
Springer
170views Optimization» more  PE 2010»
13 years 6 months ago
Approximating passage time distributions in queueing models by Bayesian expansion
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
Giuliano Casale
CEC
2009
IEEE
14 years 2 months ago
The Pareto-Following Variation Operator as an alternative approximation model
— This paper presents a critical analysis of the Pareto-Following Variation Operator (PFVO) when used as an approximation method for Multiobjective Evolutionary Algorithms (MOEA)...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
GECCO
2010
Springer
211views Optimization» more  GECCO 2010»
13 years 8 months ago
Investigating EA solutions for approximate KKT conditions in smooth problems
Evolutionary algorithms (EAs) are increasingly being applied to solve real-parameter optimization problems due to their flexibility in handling complexities such as non-convexity,...
Rupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joyd...
ICSEA
2006
IEEE
14 years 1 months ago
Testing a Network by Inferring Representative State Machines from Network Traces
— This paper describes an innovative approach to network testing based on automatically generating and analyzing state machine models of network behavior. The models are generate...
Nancy D. Griffeth, Yuri Cantor, Constantinos Djouv...