This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Structured Query Language (SQL) is the dominant language for querying relational databases today, and is an essential topic in introductory database courses in higher education. E...
: In this paper we propose a multifactor biometric sketch authentication method based on biometric sketch recognition and a user’s personal knowledge about the sketch‘s content...
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert ...