This workdemonstrates newtechniques developed for the prediction of protein folding class in the context of the most comprehensiveStructural Classification of Proteins (SCOP). The...
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
— In this paper, we present a complete analytical study of dynamic membership (aka churn) in structured peer-to-peer networks. We use a master-equation-based approach, which is u...
Supriya Krishnamurthy, Sameh El-Ansary, Erik Aurel...
This paper describes the process used to extend the Boost Graph Library (BGL) for parallel operation with distributed memory. The BGL consists of a rich set of generic graph algor...
Most storytelling model approaches consider stories formed by sequences of a particular type of event. These sequences are mostly constructed using the inherent temporal characteri...