On étudie l’application des algorithmes de décomposition matricielles tel que la Factorisation Matricielle Non-négative (FMN), aux représentations fréquentielles de signaux audio musicaux. Ces algorithmes, dirigés par une fonction d’erreur de reconstruction, apprennent un ensemble de fonctions de base et un…

Inquiring into the suspended professionalization of the translation occupation in Israel, this article examines two types of self-presentational discourses and status strategies – that of top literary translators, on the one hand, and that of technical translators, subtitlers and non-elite…

The diffusion and the use of the Information and the Communication Technologies (ITC) are generating changes in all the levels of the economy (knowledge access, organization of the work, organization of the government or public services, among others). The ITC…

This paper uses dynamic general equilibrium and computational methods, inspired by the multi-sector growth model structure in Stephen Turnovsky’s previous and more recent work, to develop a theory that unifies two of the traditional explanations of structural change: sector-biased technical…

This report investigates some techinques appropriate to representing the knowledge necessary for understanding a class of electronic machines -- radio receivers. A computational performance model - WATSON - is presented. WATSONs task is to isolate failures in radio receivers whose…

Most studies on Japanese supplier-automaker relationships have focused on the nature of
the dyadic inter-firm relationship and the performance of the assembler. We examine the
relationship between a Japanese supplier's "customer scope strategy" (i.e. number of
customers) and the supplier's…

The analysis of high sports performance by means of technological advances has often been used to calculate the routes of sportsmen in the distances covered, or to calculate speed in orienteering. However, there is still little information on data for…

Reverse logistics activities require the ability to generate new knowledge to reduce high uncertainty and to solve problems resulting of these activities. In this sense the purpose of this research is to understand how the modes of knowledge conversion (Nonaka…

Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to identify…

Combining numerical techniques with ideas from symbolic computation and with methods incorporating knowledge of science and mathematics leads to a new category of intelligent computational tools for scientists and engineers. These tools autonomously prepare simulation experiments from high-level specifications of…