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» Bayesian Evolutionary Optimization Using Helmholtz Machines
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ML
2002
ACM
128views Machine Learning» more  ML 2002»
13 years 9 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
GECCO
2007
Springer
217views Optimization» more  GECCO 2007»
13 years 11 months ago
A quantitative analysis of memory requirement and generalization performance for robotic tasks
In autonomous agent systems, memory is an important element to handle agent behaviors appropriately. We present the analysis of memory requirements for robotic tasks including wal...
DaeEun Kim
CEC
2010
IEEE
13 years 4 months ago
Multi-objective robust static mapping of independent tasks on grids
We study the problem of efficiently allocating incoming independent tasks onto the resources of a Grid system. Typically, it is assumed that the estimated time to compute each task...
Bernabé Dorronsoro Díaz, Pascal Bouv...
GECCO
2011
Springer
240views Optimization» more  GECCO 2011»
13 years 1 months ago
Collisions are helpful for computing unique input-output sequences
Computing unique input-output sequences (UIOs) from finite state machines (FSMs) is important for conformance testing in software engineering, where evolutionary algorithms (EAs)...
Chao Qian, Yang Yu, Zhi-Hua Zhou
BMCBI
2007
194views more  BMCBI 2007»
13 years 10 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung