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AAAI
1993
15 years 7 months ago
Complexity Analysis of Real-Time Reinforcement Learning
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...
Sven Koenig, Reid G. Simmons
AAAI
1994
15 years 7 months ago
Conditional Logics of Belief Change
The study of belief change has been an active area in philosophy and AI.In recent years two special cases ofbelief change, belief revision and belief update, have been studied in ...
Nir Friedman, Joseph Y. Halpern
AAAI
1996
15 years 7 months ago
Neighborhood Inverse Consistency Preprocessing
Constraint satisfaction consistency preprocessing methods are used to reduce search e ort. Time and especially space costs limit the amount of preprocessing that will be cost e ec...
Eugene C. Freuder, Charles D. Elfe
186
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AAAI
1996
15 years 7 months ago
Building Classifiers Using Bayesian Networks
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
Nir Friedman, Moisés Goldszmidt
AAAI
1994
15 years 7 months ago
Improving Learning Performance Through Rational Resource Allocation
This article shows how rational analysis can be used to minimize learning cost for a general class of statistical learning problems. We discuss the factors that influence learning...
Jonathan Gratch, Steve A. Chien, Gerald DeJong
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