The technique of scaling hardware performance through increasing the number of cores on a chip requires programmers to learn to write parallel code that can exploit this hardware....
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
In order to discover relevant weights of neural networks, this paper proposes a novel method to learn a distinct squared penalty factor for each weight as a minimization problem ov...
One important way to teach Computer Science is by getting students involved in projects that interest them. In order to demonstrate the value of music related computer projects, t...
In this paper, we propose a linguistically annotated reordering model for BTG-based statistical machine translation. The model incorporates linguistic knowledge to predict orders ...