Estimación de la entrada de nutrientes de origen agrícola en el Mar Menor mediante un modelo dinámico

Tratamiento de la Variación Sintáctica mediante un Modelo de Recuperación Basado en Localidad

To date, attempts for applying syntactic information in the documentbased retrieval model dominant have led to little practical improvement, mainly due to the problems associated with the integration of this kind of information into the model. In this article we propose the use of a locality-based retrieval model for reranking, which deals with syntactic linguistic variation through similarity ...

Modelo para la estimación temprana de esfuerzo en proyectos de software, incorporando información de proyectos similares

Uso de información contextual en la interfaz de entrada de un sistema de diálogo

This paper proposes a new technique that aims to enhance the performance of the input interface of spoken dialogue systems by means of combining the advantages of the prompt-dependent and prompt-independent grammars used by these systems. The technique proposes creating a two-level speech recogniser since it contains two modules. The first one is a continuous-speech standard recogniser that rec...

Modelo dinámico de las afectaciones del tiempo de ciclo kanban en el flujo de producción de una línea de ensamble

This article describes the dynamic model of assembly process of reducer is presented as part of an activity performed in a workshop kanban simulation aimed at students of industrial engineering. The main objective of the model developed is to analyze the behavior of inventory levels workstations and accumulations of kanban cards (production orders) derived from the effects of the cycle time kan...

Verificación de tema en sistemas de diálogo mediante la aplicación de un test de hipótesis bayesiano

One of the most difficult aspects of any dialogue system is the identification of user intention and recognition errors. In this paper, we present a novel approach to the task of deciding what the user has said and what she wants to do next. We use statistic classifiers driven by confidence measures which are generated in parallel by several topic-adapted speech recognizers. This approach has s...