We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
We describe the design and function of a robust processing component which is being developed for the Verbmobil speech translation system. Its task consists of collecting partial ...
Block cellular automata (BCA) make local, parallel, synchronous and uniform updates of in nite lattices. In the one-dimensionalcase, there exist BCA with 11 states which are unive...
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
Polynomial time complexity is the usual ‘threshold’ for distinguishing the tractable from the intractable and it may seem reasonable to adopt this notion of tractability in th...