We present a formal framework for representing enterprise knowledge. The concepts of our framework (objectives and goals, roles and actors, actions and processes, responsibilities ...
Manual knowledge acquisition is usually a costly and timeconsuming process. Automatic knowledge acquisition methods can then significantly support the knowledge engineer. In this ...
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 have for several years been working on an approach to knowledge system building that argues for the existence of a close connection between the tasks which the knowledge system ...
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...