----------------------------------------------ABSTRACT-------------------------------------------In the faceless world of the Internet, online fraud is one of the greatest reasons ...
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
Fault trees provide a graphical and logical framework for analyzing the reliability of systems. A fault tree provides a conceptually simple modeling framework to represent the sys...
Ragavan Manian, Joanne Bechta Dugan, David Coppit,...
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
We introduce the problem of mining association rules in large relational tables containing both quantitative and categorical attributes. An example of such an association might be...