We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
Non-deterministic operators are needed in First-Order relational languages and Datalog to extend the expressive power of such languages and support efficient formulations of lowco...
Abstract. We describe our progress building the program ReductionFinder, which uses off-the-shelf SAT solvers together with the Cmodels system to automatically search for reduction...
In this paper we describe an improvement of an entropy-based diversity preservation approach for evolutionary algorithms. This approach exploits the information contained not only...
We present a new form of least squares (LS), called “hyperLS”, for geometric problems that frequently appear in computer vision applications. Doing rigorous error analysis, we...