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145
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CEC
2005
IEEE
15 years 9 months ago
Revisiting genetic selection in the XCS learning classifier system
The XCS Learning Classifier System has traditionally used roulette wheel selection within its genetic algorithm component. Recently, tournament selection has been suggested as prov...
Faten Kharbat, Larry Bull, Mohammed Odeh
135
Voted
ECAI
2006
Springer
15 years 7 months ago
Testing the Limits of Emergent Behavior in MAS Using Learning of Cooperative Behavior
Abstract. We present a method to test a group of agents for (unwanted) emergent behavior by using techniques from learning of cooperative behavior. The general idea is to mimick us...
Jordan Kidney, Jörg Denzinger
EMNLP
2007
15 years 5 months ago
Learning Structured Models for Phone Recognition
We present a maximally streamlined approach to learning HMM-based acoustic models for automatic speech recognition. In our approach, an initial monophone HMM is iteratively refin...
Slav Petrov, Adam Pauls, Dan Klein
143
Voted
CAEPIA
2011
Springer
14 years 3 months ago
Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test
In this paper we apply the recent notion of anytime universal intelligence tests to the evaluation of a popular reinforcement learning algorithm, Q-learning. We show that a general...
Javier Insa-Cabrera, David L. Dowe, José He...
121
Voted
KDD
2002
ACM
138views Data Mining» more  KDD 2002»
16 years 4 months ago
Learning to match and cluster large high-dimensional data sets for data integration
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
William W. Cohen, Jacob Richman