This paper reviews algorithms for local computation with imprecise probabilities. These algorithms try to solve problems of inference calculation of conditional or unconditional p...
The open, decentralized nature of the Semantic Web demands fundamental changes in our approach to ontology development and deployment. To maximize the expressiveness and robustnes...
Xiaoshu Wang, Jonas S. Almeida, Arlindo L. Oliveir...
We present a set of cognitive phenomena that should be exhibited by a generally intelligent system. To date, we know of few systems that address more than a handful of these phenom...
This paper illustrates how canonical correlation analysis can be used for designing efficient visual operators by learning. The approach is highly task oriented and what constitute...
The adaptive TAP Gibbs free energy for a general densely connected probabilistic model with quadratic interactions and arbritary single site constraints is derived. We show how a ...