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GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
13 years 6 months ago
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
Luis Martí, Jesús García, Ant...
SIGMOD
2005
ACM
87views Database» more  SIGMOD 2005»
14 years 5 months ago
When Can We Trust Progress Estimators for SQL Queries?
The problem of estimating progress for long-running queries has recently been introduced. We analyze the characteristics of the progress estimation problem, from the perspective o...
Surajit Chaudhuri, Raghav Kaushik, Ravishankar Ram...
IJON
2006
161views more  IJON 2006»
13 years 5 months ago
Evolving hybrid ensembles of learning machines for better generalisation
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
Arjun Chandra, Xin Yao
INFOSCALE
2006
ACM
13 years 11 months ago
Towards better measures: evaluation of estimated resource description quality for distributed IR
An open problem for Distributed Information Retrieval systems (DIR) is how to represent large document repositories, also known as resources, both accurately and efficiently. Obt...
Mark Baillie, Leif Azzopardi, Fabio Crestani
GECCO
2010
Springer
347views Optimization» more  GECCO 2010»
13 years 7 months ago
Comparison of cauchy EDA and BIPOP-CMA-ES algorithms on the BBOB noiseless testbed
Estimation-of-distribution algorithm using Cauchy sampling distribution is compared with the bi-population CMA evolutionary strategy which was one of the best contenders in the bl...
Petr Posík