Partially Observable Markov Decision Process models (POMDPs) have been applied to low-level robot control. We show how to use POMDPs differently, namely for sensorplanning in the ...
Dominant sets are a new graph-theoretic concept that has proven to be relevant in pairwise data clustering problems, such as image segmentation. They generalize the notion of a ma...
We describe the application of kernel methods to Natural Language Processing (NLP) problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other discre...
: This paper is an introdnction to KASSYS, a system that has been designed to extract information from detining statements in natural language. Only hyperonymous detinitions are de...
In this paper a large amount of absolute mean opinion scores obtained within a single listening test are presented. Naïve listeners’ preference on different speech signal prope...