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GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
13 years 8 months ago
Ensemble selection for evolutionary learning using information theory and price's theorem
This paper presents an information theoretic perspective on design and analysis of evolutionary algorithms. Indicators of solution quality are developed and applied not only to in...
Stuart W. Card, Chilukuri K. Mohan
GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
13 years 10 months ago
Applying price's equation to survival selection
Several researchers have used Price’s equation (from biology theory literature) to analyze the various components of an Evolutionary Algorithm (EA) while it is running, giving i...
Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A....
ILP
2004
Springer
13 years 10 months ago
Learning Ensembles of First-Order Clauses for Recall-Precision Curves: A Case Study in Biomedical Information Extraction
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. Our research has focused on Information Extraction (IE), a task that typically invol...
Mark Goadrich, Louis Oliphant, Jude W. Shavlik
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
13 years 10 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
ML
2006
ACM
13 years 4 months ago
Gleaner: Creating ensembles of first-order clauses to improve recall-precision curves
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. A common way to measure performance in these domains is to use precision and recall i...
Mark Goadrich, Louis Oliphant, Jude W. Shavlik