Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
Ramesh Nallapati, Susan Ditmore, John D. Lafferty,...
We propose a set of metrics for measuring the semantic implications of changes during ontology evolution. Our metrics focus on the changes of classes and associated axioms or annot...
— A pseudo-reverse approach is presented in this paper to analyze the evolutionary behaviour of enzymes. It employs the standard model of Nei and Gojobori [1] in a generalized fo...
Intelligent agents must update their knowledge base as they acquire new information about their environment. The modal logic S5n has been designed for representing knowledge bases...