The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Web archives preserve the history of Web sites and have high long-term value for media and business analysts. Such archives are maintained by periodically re-crawling entire Web s...
Marc Spaniol, Dimitar Denev, Arturas Mazeika, Gerh...
Counter Abstraction for Concurrent Software G?erard Basler1 , Michele Mazzucchi1 , Thomas Wahl1,2 , Daniel Kroening1,2 1 Computer Systems Institute, ETH Zurich, Switzerland 2 Compu...
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Service providers like Google and Amazon are moving into the SaaS (Software as a Service) business. They turn their huge infrastructure into a cloud-computing environment and aggr...
Wai Kit Wong, David Wai-Lok Cheung, Ben Kao, Nikos...