Two of the most important threads of work in knowledge representation today are frame-based representation systems (FRS's) and Bayesian networks (BNs). FRS's provide an ...
This paper describes algorithms and software developed to characterise and detect generic intelligent language-like features iu an input signal, using Natural Language Learning te...
- The measurement and assessment of health status in communities throughout the world is a massive information technology challenge. The Comprehensive Assessment for Tracking Commu...
Today, bibliographical information is kept in a variety of data sources world wide, some of them publically available, and some of them also offering information about citations m...
In many domains, we are interested in analyzing the structure of the underlying distribution, e.g., whether one variable is a direct parent of the other. Bayesian model selection a...