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ICANN
2009
Springer
15 years 11 months ago
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
Faustino J. Gomez, Julian Togelius, Jürgen Sc...
ICWL
2009
Springer
15 years 11 months ago
Bridging the Gap: Adaptive Games and Student-Centered VLEs
The widely used e-learning technology is facing new challenges such as how to produce student-centered systems that can be adapted to the needs of each student. Those objectives sh...
Ángel del Blanco, Javier Torrente, Pablo Mo...
ICDM
2008
IEEE
128views Data Mining» more  ICDM 2008»
15 years 11 months ago
Cost-Sensitive Parsimonious Linear Regression
We examine linear regression problems where some features may only be observable at a cost (e.g., in medical domains where features may correspond to diagnostic tests that take ti...
Robby Goetschalckx, Kurt Driessens, Scott Sanner
CLUSTER
2007
IEEE
15 years 11 months ago
Dynamic scheduling of multi-processor tasks on clusters of clusters
— In this article we tackle the problem of scheduling a dynamically generated DAG of multi-processor tasks (M-tasks). At first, we outline the need of such a scheduling approach...
Sascha Hunold, Thomas Rauber, Gudula Rünger
IAT
2007
IEEE
15 years 11 months ago
Network Intrusion Detection by Means of Community of Trusting Agents
We apply advanced agent trust modeling techniques to identify malicious traffic in computer networks. Our work integrates four state-of-the-art techniques from anomaly detection,...
Martin Rehák, Michal Pechoucek, Karel Barto...