Abstract. In this paper we study traditional and enhanced BDDbased exploration procedures capable of handling large planning problems. On the one hand, reachability analysis and mo...
We present Hintikka games for formulae of the probabilistic temporal logic PCTL and countable labeled Markov chains as models, giving an operational account of the denotational se...
Harald Fecher, Michael Huth, Nir Piterman, Daniel ...
Abstract— This paper explores integrated source-channel decoding, driven by wireless sensor network applications where correlated information acquired by the network is gathered ...
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...