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WSC
1998
14 years 15 days ago
An Approach to Ranking and Selection for Multiple Performance Measures
In this paper, we develop a ranking and selection procedure for making multiple comparisons of systems that have multiple performance measures. The procedure combines multiple att...
Douglas J. Morrice, John C. Butler, Peter W. Mulla...
HCW
1999
IEEE
14 years 3 months ago
Multiple Cost Optimization for Task Assignment in Heterogeneous Computing Systems Using Learning Automata
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
Raju D. Venkataramana, N. Ranganathan
EDM
2010
113views Data Mining» more  EDM 2010»
14 years 18 days ago
Using multiple Dirichlet distributions to improve parameter plausibility
Predictive accuracy and parameter plausibility are two major desired aspects for a student modeling approach. Knowledge tracing, the most commonly used approach, suffers from local...
Yue Gong, Joseph E. Beck, Neil T. Heffernan
GECCO
2008
Springer
14 years 7 days ago
Particle filtering with particle swarm optimization in systems with multiplicative noise
We propose a Particle Filter model that incorporates Particle Swarm Optimization for predicting systems with multiplicative noise. The proposed model employs a conventional multio...
A. D. Klamargias, Konstantinos E. Parsopoulos, Phi...
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
14 years 5 months ago
Exploiting multiple robots to accelerate self-modeling
In previous work [8] a computational framework was demonstrated that allows a mobile robot to autonomously evolve models its own body for the purposes of adaptive behavior generat...
Josh C. Bongard