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117
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CORR
2002
Springer
86views Education» more  CORR 2002»
15 years 3 months ago
The Management of Context-Sensitive Features: A Review of Strategies
In this paper, we review five heuristic strategies for handling context-sensitive features in supervised machine learning from examples. We discuss two methods for recovering lost...
Peter D. Turney
ML
2002
ACM
146views Machine Learning» more  ML 2002»
15 years 3 months ago
Variable Resolution Discretization in Optimal Control
Abstract. The problemof state abstractionis of centralimportancein optimalcontrol,reinforcement learning and Markov decision processes. This paper studies the case of variable reso...
Rémi Munos, Andrew W. Moore
ECML
2004
Springer
15 years 9 months ago
An Analysis of Stopping and Filtering Criteria for Rule Learning
Abstract. In this paper, we investigate the properties of commonly used prepruning heuristics for rule learning by visualizing them in PN-space. PN-space is a variant of ROC-space,...
Johannes Fürnkranz, Peter A. Flach
CEC
2005
IEEE
15 years 6 months ago
On the use of rule-sharing in learning classifier system ensembles
This paper presents an investigation into exploiting the population-based nature of Learning Classifier Systems for their use within highly-parallel systems. In particular, the use...
Larry Bull, Matthew Studley, Anthony J. Bagnall, I...
139
Voted
ICML
1996
IEEE
16 years 4 months ago
Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning
Research in reinforcementlearning (RL)has thus far concentrated on two optimality criteria: the discounted framework, which has been very well-studied, and the averagereward frame...
Sridhar Mahadevan