Protein crystallization is a commonly used technique for protein analysis and subsequent drug design. It predicts the 3-D arrangement of the constituent amino acids, which in turn ...
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
As an increasingly large number of OWL ontologies become available on the Semantic Web and the descriptions in the ontologies become more complicated, finding the cause of errors ...
This paper introduces GRASP (Generic seaRch Algorithm for the Satisfiability Problem), an integrated algorithmic framework for SAT that unifies several previously proposed searchp...
The Manpower Allocation Problem with Time Windows, Job-Teaming Constraints and a limited number of teams (mMAPTWTC) is a crew scheduling problem faced in several different context...