Distributed Partially Observable Markov Decision Problems (DisPOMDPs) are emerging as a popular approach for modeling sequential decision making in teams operating under uncertain...
This article describes a finite-state cascade for the extraction of person names in texts in French. We extract these proper names in order to categorize and to cluster texts with...
This paper presents SFST-PL, a programming language for finite state transducers which is based on extended regular expressions with variables. The programming language is both si...
In this paper the propagation of information about fault states and its implementation in high-speed networks is discussed. The algebraic concept of a lattice partial ordered set ...
We describe a new approximation algorithm for solving partially observable MDPs. Our bounded policy iteration approach searches through the space of bounded-size, stochastic fini...