We generalise the Gaussian process (GP) framework for regression by learning a nonlinear transformation of the GP outputs. This allows for non-Gaussian processes and non-Gaussian ...
Edward Snelson, Carl Edward Rasmussen, Zoubin Ghah...
The need to continue to work in a mobile environment raises the problem of data availability in the presence of disconnections. Our approach aiming at solving this problem is to m...
Abstract New algorithms are constantly developed in search of better or faster results. Many variants of code are often tried while searching for the best solution. When the number...
Starting from descriptions of French connectives (in particular "donc"---therefore), on the one hand, and aspectual properties of French tenses pass4 simple and imparfai...
We analyze the complexity of propositional kernel resolution (del Val 1999), a general method for obtaining logical consequences in restricted target languages. Different choices ...