Document classification has already been widely studied. In fact, some studies compared feature selection techniques or feature space transformation whereas some others compared the performance of different algorithms. Recently, following the rising interest towards the Support Vector Machine, various studies…

This paper describes an information retrieval system called NLA which analyses natural language queries. The languages used here are: English, Italian & French. The query analysis is performed in two stages: the comprehension stage, where the user's request is translated…

Robotic soccer is a way of putting different developments in intelligent agents into practice, including not only problems such as multi-agent planning and coordination, but also physical problems related to vision and communication subsystems. In this work, we present the…

The purpose of the present paper is to review the current knowledge about cholesterol gallstone disease. It is generally accepted that the formation of cholesterol gallstone requires three major pathogenic defects, namely, supersaturation, nucleation and crystal growth as well as…

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Several epidemiological and intervention studies have been performed in Mexico in order to evaluate control strategies against Taenia solium cysticercosis. Epidemiological questionnaires and immunodiagnostic assays indicate that the main risk factor for acquiring cysticercosis is the tapeworm carrier. Two control…

In the UK, a series of policies and practices since
the 1980s have increasingly involved service users
and carers in the policy and planning of mainstream
services (Department of Health, 2000; 2001; 2004).
The knowledge base on which services are…

This article explores the way in which text worlds are created in advertising discourse by analysing linguistic choices and features of context which are crucial in the determination of specific relations between sender(s) and target audience(s), in particular, deixis and…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use ot…