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...
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...
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...
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, ...
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...