ABSTRACT. Some works in progress on finite domain constraint solvers concern the implementation of a XML trace of the computation according to the OADymPPaC DTD (for example in GNU...
In this paper we develop a theoretical analysis of the performance of sampling-based fitted value iteration (FVI) to solve infinite state-space, discounted-reward Markovian decisi...
We seek a framework that addresses localization, detection and recognition of man-made objects in natural-scene images in a unified manner. We propose to model artificial structur...
We study the computational problem "find the value of the quantified formula obtained by quantifying the variables in a sum of terms." The "sum" can be based o...
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...