— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Abstract. This paper describes an approach for the integration of linguistic information in passage retrieval in an open-source question answering system for Dutch. Annotation prod...
This work targets the emerging use of software component technology for high-performance scientific parallel and distributed computing. While component software engineering will ...
Sameer Shende, Allen D. Malony, Craig Edward Rasmu...
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...