The standard approach in AI to knowledge representation is to represent an agent's knowledge symbolically as a collection of formulas, which we can view as aknowledge base. A...
Ronald Fagin, Joseph Y. Halpern, Yoram Moses, Mosh...
This paper presents an interactive system for the annotation of brain anatomical structures in Magnetic Resonance Images. The system is based on hybrid knowledge and techniques. Fi...
Abstract. Semantic wikis have been successfully applied to many problems in knowledge management and collaborative authoring. They are particularly appropriate for scientific and m...
Christoph Lange 0002, Sean McLaughlin, Florian Rab...
Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is t...
Vassilis Tzouvaras, Gabriel Tsechpenakis, Giorgos ...
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...