Se plantea la utilidad que representa para el alumno el aprendizaje significativo de la lengua escrita para acceder a la información como base para la construcción del conocimiento. Así, la atención pedagógica se centra en aspectos que debe poner en…

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…

This paper descries D-SCRIPT, a language for representing knowledge in artificial intelligence programs. D-SCRIPT contains a powerful formalism for descriptions, which permits the representation of statements that are problematical for other systems. Particular attention is paid to problems of opaque…

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The need for improving software processes approximated the software engineering and artificial intelligence areas. Artificial intelligence techniques have been used as a support to software development processes, particularly through intelligent assistants that offer a knowledge-based support to software process’ activities.…

Rough Sets Theory has opened new trends for the development of the Incomplete Information Theory. Inside this one, the notion of reduct is a very significant one, but to obtain a reduct in a decision system is an expensive computing…

En este trabajo procuramos reflexionar sobre las posibilidades
que le brinda el ciberespacio a la Universidad para que difunda, a través de
las bibliotecas digitales, el producto científico que germina dentro de sus
paredes. Para ello, tomamos en consideración algunos…

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In the past, numerous approaches have been formulated either for approximating Pareto-optimal alternatives or supporting the decision making process with an interactive multi criteria decision aiding methodology. The article on the other hand presents an integrated system for the resolution…