A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
Exact phrase matching is a powerful tool to quickly retrieve results when a sufficient section of the text is accurately provided as the query. If the section of the text is not c...
Kathryn Patterson, Carolyn R. Watters, Michael A. ...
Background: Accurate evaluation and modelling of residue-residue interactions within and between proteins is a key aspect of computational structure prediction including homology ...
Vladimir Potapov, Mati Cohen, Yuval Inbar, Gideon ...
This paper is devoted to the optimization problem of continuous multipartitioning, or multi-labeling, which is based on a convex relaxation of the continuous Potts model. In contr...
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...