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» On Learning Boolean Functions
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SAT
2010
Springer
165views Hardware» more  SAT 2010»
15 years 5 months ago
An Empirical Study of Optimal Noise and Runtime Distributions in Local Search
This paper presents a detailed empirical study of local search for Boolean satisfiability (SAT), highlighting several interesting properties, some of which were previously unknown...
Lukas Kroc, Ashish Sabharwal, Bart Selman

Publication
334views
16 years 3 months ago
Rollout Sampling Approximate Policy Iteration
Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schem...
Christos Dimitrakakis, Michail G. Lagoudakis
ICC
2007
IEEE
102views Communications» more  ICC 2007»
16 years 28 days ago
Use of Fuzzy Bayesian Clustering to Enhance Generalization Capacity of Radio Network Planning Tool
— To enhance the generalization capacity of a distribution learning method, we propose to use a fuzzy Bayesian framework based on Bayes rules. The precision of the learning resul...
Zakaria Nouir, Berna Sayraç, Benoît F...
NIPS
1996
15 years 8 months ago
Why did TD-Gammon Work?
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
Jordan B. Pollack, Alan D. Blair
IJKL
2008
106views more  IJKL 2008»
15 years 6 months ago
Activity- and taxonomy-based knowledge representation framework
: Elaborations of Competence-based Knowledge Space Theory (CbKST) incorporate skills that refer to the conceptual information of the domain as well as to the activities learners ar...
Birgit Marte, Christina M. Steiner, Jürgen He...