"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
This paper describes the design and implementation of a language for specifying the semantics of an instruction set, along with a run-time system to support the static analysis of ...
We provide two certificates of convexity for arbitrary basic closed semi-algebraic sets of Rn. The first one is based on a necessary and sufficient condition whereas the second one...
Background: Predicting the subcellular localization of proteins is important for determining the function of proteins. Previous works focused on predicting protein localization in...
Even after more than two decades of input devices development, many people still find the interaction with computers an uncomfortable experience. Efforts should be made to adapt c...