Durante las pasadas dos décadas,
las personas que han realizado estudios
sobre enfermería han contribuido
con grandes cantidades de conocimientos
que han ayudado a mejorar
inmensamente la práctica clínica y los
resultados de salud. Una manera de
actualizar estos estudios…

When building Hypermedia/Web Applications, (different) designers are often faced with the same problems over and over again. Those recurring problems soon yield elegant solutions, which can be conveniently described as design patterns. In this paper we present two patterns for…

An audience driven philosophy for web site design takes the different target audiences as an explicit starting point, and organizes the basic navigation structure accordingly. However, for the designer it is not always easy, or sometimes even impossible, to assess…

In this paper we present different error measurements with the aim to evaluate the quality of the approximations generated by the GNG3D method for mesh simplification. The first phase of this method consists on the execution of the GNG3D algorithm,…

Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data…

The ability of building robust semantic space representations of environments is crucial for the development of truly autonomous robots. This task, inherently connected with cognition, is traditionally achieved by training the robot with a supervised learning phase. We argue that…

This article reviews existing knowledge concerning the epidemiology, instruments and regulatory criteria currently used to evaluate artificial turf soccer pitches. Recent years have seen tremendous growth in the use of artificial turf as a playing surface for sports (rugby, soccer,…

When training hidden-Markov-model-based part-of-speech (PoS) taggers involved in machine translation systems in an unsupervised manner the use of target-language information has proven to give better results than the standard Baum-Welch algorithm. The target-language-driven training algorithm proceeds by translating every possible…

Descripción completa.

Este artículo presenta un nuevo método totalmente automático de
construcción de bases de conocimiento muy densas y precisas a partir de recursos
semánticos preexistentes. Básicamente, el método usa un algoritmo de Interpretación Semántica de las palabras preciso y de amplia…