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AUSAI
2009
Springer
13 years 11 months ago
Ensemble Approach for the Classification of Imbalanced Data
Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...
Vladimir Nikulin, Geoffrey J. McLachlan, Shu-Kay N...
CEC
2007
IEEE
13 years 11 months ago
A hybrid evolutionary approach to the university course timetabling problem
Combinations of evolutionary based approaches with local search have provided very good results for a variety of scheduling problems. This paper describes the development of such a...
Salwani Abdullah, Edmund K. Burke, Barry McCollum
GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
13 years 11 months ago
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
Riccardo Poli, Leonardo Vanneschi
SGP
2004
13 years 10 months ago
Simplification and Improvement of Tetrahedral Models for Simulation
Most 3D mesh generation techniques require simplification and mesh improvement stages to prepare a tetrahedral model for efficient simulation. We have developed an algorithm that ...
Barbara Cutler, Julie Dorsey, Leonard McMillan
AAAI
2007
13 years 10 months ago
Using Expectation Maximization to Find Likely Assignments for Solving CSP's
We present a new probabilistic framework for finding likely variable assignments in difficult constraint satisfaction problems. Finding such assignments is key to efficient sea...
Eric I. Hsu, Matthew Kitching, Fahiem Bacchus, She...