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ICML
2006
IEEE
16 years 7 months ago
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuille...
ICML
1999
IEEE
16 years 7 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
ICSE
2009
IEEE-ACM
16 years 7 months ago
How we refactor, and how we know it
Much of what we know about how programmers refactor in the wild is based on studies that examine just a few software projects. Researchers have rarely taken the time to replicate ...
Emerson R. Murphy-Hill, Chris Parnin, Andrew P. Bl...
ISBI
2004
IEEE
16 years 7 months ago
Multiple-Image Computed Tomography
We have recently proposed and investigated a planar imaging method called multiple-image radiography (MIR) that concurrently produces three two-dimensional images that reveal info...
Miles N. Wernick, Jovan G. Brankov, Dean Chapman, ...
WWW
2005
ACM
16 years 7 months ago
BackRank: an alternative for PageRank?
This paper proposes to extend a previous work, The Effect of the Back Button in a Random Walk: Application for PageRank [5]. We introduce an enhanced version of the PageRank algor...
Mohamed Bouklit, Fabien Mathieu