Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...
In this paper, we develop a new substructural logic that can encode invariants necessary for reasoning about hierarchical storage. We show how the logic can be used to describe th...
Abstract. Parallel corpora are a valuable resource for machine translation, but at present their availability and utility is limited by genreand domain-speci city, licensing restri...
Abstract. We define a new class of hybrid automata for which reachability is decidable--a proper superclass of the initialized rectangular hybrid automata--by taking parallel compo...
A generic architecture for evolutive supervision of robotized assembly tasks is presented. This architecture , at different levels of abstraction, functions for dispatching action...