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NIPS
1998
14 years 11 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh
UAI
1997
14 years 11 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
WSC
1997
14 years 11 months ago
Selecting the Best System: A Decision-Theoretic Approach
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
Stephen E. Chick
ACL
1994
14 years 11 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
ISMB
1994
14 years 11 months ago
GeneQuiz: A Workbench for Sequence Analysis
Wepresent the prototype of a software system, cMledGeneQuiz,for large-scale biological sequence analysis. The system was designed to meet the needs that arise in computational seq...
Michael Scharf, Reinhard Schneider, Georg Casari, ...
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