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ROCAI
2004
Springer
15 years 2 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
ICML
2009
IEEE
15 years 10 months ago
Near-Bayesian exploration in polynomial time
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
J. Zico Kolter, Andrew Y. Ng
COCOS
2003
Springer
139views Optimization» more  COCOS 2003»
15 years 2 months ago
Inter-block Backtracking: Exploiting the Structure in Continuous CSPs
This paper details a technique, called inter-block backtracking (IBB), which improves interval solving of decomposed systems with non-linear equations over the reals. This techniqu...
Bertrand Neveu, Christophe Jermann, Gilles Trombet...
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
15 years 1 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
116
Voted
TSP
2012
13 years 5 months ago
Sensing and Probing Cardinalities for Active Cognitive Radios
—In a cognitive radio network, opportunistic spectrum access (OSA) to the underutilized spectrum involves not only sensing the spectrum occupancy but also probing the channel qua...
Thang Van Nguyen, Hyundong Shin, Tony Q. S. Quek, ...