Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
We describe a novel family of PAC model algorithms for learning linear threshold functions. The new algorithms work by boosting a simple weak learner and exhibit complexity bounds...
Previous work proposed a technique for predicting problems resulting from replacing one version of a software component by another. The technique reports, before performing the rep...
The security policy of an information system may include a wide range of different requirements. The literature has primarily focused on access and information flow control require...
Abstract. We propose a unifying framework for polyhedral approximation in convex optimization. It subsumes classical methods, such as cutting plane and simplicial decomposition, bu...