Constraint Programming is an attractive approach for solving AI planning problems by modelling them as Constraint Satisfaction Problems (CSPs). However, formulating effective cons...
Andrea Rendl, Ian Miguel, Ian P. Gent, Peter Grego...
In bacterial cells, gene expression is regulated by multiple sigma factors, each of which has its promoter specificity, according to their conditions. Thus, if we can discriminate...
Christopher James Langmead⋆ and Sumit Kumar Jha Department of Computer Science, Carnegie Mellon University We present a novel approach for predicting protein folding kinetics us...
Abstract. When dealing with distributed systems, one of the most important problems that has to be addressed is concurrency. Distributed systems are inherently concurrent, distribu...
In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...