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» Evaluating Adaptive Problem Selection
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ECML
2003
Springer
14 years 2 months ago
Experiments with Cost-Sensitive Feature Evaluation
Many machine learning tasks contain feature evaluation as one of its important components. This work is concerned with attribute estimation in the problems where class distribution...
Marko Robnik-Sikonja
AIEDU
2004
95views more  AIEDU 2004»
13 years 8 months ago
Looking Ahead to Select Tutorial Actions: A Decision-Theoretic Approach
We propose and evaluate a decision-theoretic approach for selecting tutorial actions by looking ahead to anticipate their effects on the student and other aspects of the tutorial s...
R. Charles Murray, Kurt VanLehn, Jack Mostow
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
14 years 2 months ago
Advanced models of cellular genetic algorithms evaluated on SAT
Cellular genetic algorithms (cGAs) are mainly characterized by their spatially decentralized population, in which individuals can only interact with their neighbors. In this work,...
Enrique Alba, Hugo Alfonso, Bernabé Dorrons...
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
14 years 2 months ago
Diversity as a selection pressure in dynamic environments
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...
Lam Thu Bui, Jürgen Branke, Hussein A. Abbass
CCE
2008
13 years 9 months ago
Bidirectional branch and bound for controlled variable selection: Part I. Principles and minimum singular value criterion
The minimum singular value (MSV) rule is a useful tool for selecting controlled variables (CVs) from the available measurements. However, the application of the MSV rule to large-...
Yi Cao, Vinay Kariwala