Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
We present a novel algorithm for multilingual dependency parsing that uses annotations from a diverse set of source languages to parse a new unannotated language. Our motivation i...
Abstract. We show how the “Online Sparse Coding Neural Gas” algorithm can be applied to a more realistic model of the “Cocktail Party Problem”. We consider a setting where ...
Process variations have become a serious concern for nanometer technologies. The interconnect and device variations include interand intra-die variations of geometries, as well as...
Xiaoning Qi, Alex Gyure, Yansheng Luo, Sam C. Lo, ...
This paper addresses the problem of scheduling parallel tasks, represented by a direct acyclic graph (DAG) on heterogeneous clusters. Parallel tasks, also called malleable tasks, ...
Jorge G. Barbosa, C. N. Morais, R. Nobrega, A. P. ...