Abstract. For many statistical pattern recognition methods, distributions of sample vectors are assumed to be normal, and the quadratic discriminant function derived from the proba...
This paper is placed in the context of large scale distributed programming, providing a programming model based on asynchronous components. It focuses on the semantics of asynchron...
Reservoir Computing is a new paradigm for using Recurrent Neural Networks which shows promising results. However, as the recurrent part is created randomly, it typically needs to b...
Xavier Dutoit, Benjamin Schrauwen, Jan M. Van Camp...
Several methods are known for parsing languages generated by Tree Adjoining Grammars (TAGs) in O(n 6) worst case running time. In this paper we investigate which restrictions on T...
The large unstructured text collections demand full-text search capabilities from IR systems. Current systems typically allow users only to connect to a single database (or site) ...