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IJCNN
2008
IEEE
14 years 3 months ago
Uncertainty propagation for quality assurance in Reinforcement Learning
— In this paper we address the reliability of policies derived by Reinforcement Learning on a limited amount of observations. This can be done in a principled manner by taking in...
Daniel Schneegaß, Steffen Udluft, Thomas Mar...
OOPSLA
2010
Springer
13 years 7 months ago
Refactoring references for library migration
This report is a companion to the paper “Refactoring References for Library Migration” published at the ACM SIGPLAN International Conference on Systems, Programming, Languages...
Puneet Kapur, Bradley Cossette, Robert J. Walker
PODS
2004
ACM
98views Database» more  PODS 2004»
14 years 9 months ago
Processing First-Order Queries under Limited Access Patterns
We study the problem of answering queries over sources with limited access patterns. Given a first-order query Q, the problem is to decide whether there is an equivalent query whi...
Alan Nash, Bertram Ludäscher
WWW
2010
ACM
14 years 4 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
IJFCS
2008
130views more  IJFCS 2008»
13 years 9 months ago
Equivalence of Labeled Markov Chains
We consider the equivalence problem for labeled Markov chains (LMCs), where each state is labeled with an observation. Two LMCs are equivalent if every finite sequence of observat...
Laurent Doyen, Thomas A. Henzinger, Jean-Fran&cced...