This paper describes the development of an image retrieval
system that combines probabilistic and ontological information1. The
process is divided in two different stages: indexing and retrieval. Three
information flows have been created with different kind of information
each one:…

In the last few years, several studies have emphasized the use of ontologies as an alternative to organization of the information.
The notion of ontology has become popular in fields such as intelligent information integration, information retrieval on the Internet,…

The first two chapters of this thesis investigate a possibly fundamental aspect of technological progress. If knowledge accumulates as technology progresses, then successive generations of innovators may face an increasing educational burden, forcing them to spend longer periods in education…

Tradicionalmente, los sistemas de evaluación automática de respuestas en texto libre se han basado únicamente en el uso de técnicas de Procesamiento de Lenguaje Natural. De esta forma se ha ido mejorando el rendimiento de estos sistemas, pero no se…

by Leslie Prince Rudolph., Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1999., Includes bibliographical references (leaves 70-72).

This article offers an interpretation in terms of metapoetic theory of The Wanderings of
Oisin, Yeats's first important work. Our purpose is to prove that an analysis of the poem
upon this basis can be useful to solve the semantic…

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…

I propose a common framework that combines three different paradigms in machine learning: generative, discriminative and imitative learning. A generative probabilistic distribution is a principled way to model many machine learning and machine perception problems. Therein, one provides domain specific…

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…

http://www.naun.org/journals/m3as/2008.htm, We propose a new perspective on the identification of linear dynamic system using structural similarity. The proposal consists in the meaningful exploration of each model, specifically behavior of the state variable.
The decomposition of the behavior of a state…