Many algorithms and applications involve repeatedly solving variations of the same inference problem; for example we may want to introduce new evidence to the model or perform upd...
Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mett...
Approximate inference in dynamic systems is the problem of estimating the state of the system given a sequence of actions and partial observations. High precision estimation is fu...
Ontologies represent knowledge in a particular area. Intellectual Property (IP) Entities lifecycle lacks any explicit standard representation, and a semantic expression of its proc...
Knowledge is of general utility and should be captured thinking in reuse. A key idea underlining knowledge capturing for reuse is to consider that there are two major kinds of know...
Abstract. Ontologies constitute an approach for knowledge representation that can be shared establishing a shared vocabulary for different applications and are also the backbone of...