Abstract. In this paper we investigate the way of improving the performance of a Named Entity Extraction (NEE) system by applying machine learning techniques and corpus transformat...
The paper presents how the Random PROLOG Processor (RPP), a bio-inspired model of computations, can be used for formalization and analysis of a phenomenon - the Collective Intelli...
A new approach is proposed to translate existing software programs from one instruction set to other instruction sets at the level. The behaviors of instructions are abstractly re...
We present a symbolic framework for refinement and composition of security protocols. ework uses the notion of ideal functionalities. These are abstract systems which are secure b...
An open problem in reinforcement learning is discovering hierarchical structure. HEXQ, an algorithm which automatically attempts to decompose and solve a model-free factored MDP h...