Identificación Robusta de Modelos Wiener y Hammerstein

Identificación de entidades con nombre basada en modelos de Markov y árboles de decisión

In this paper we investigate Named Entity Recognition (NER) systems using two well-known classifiers in the machine learning literature: Markov Models and Decision Trees. We have designed several systems to check the impact of introducing different characteristics which have a weak dependence of the language used. We also report the results obtained by our systems on the Spanish corpus provided...

Nativos digitales y modelos de aprendizaje

Según los expertos, el verdadero potencial de una nueva tecnología suele tardar toda una generación en desarrollarse. En el asunto de los nativos digitales (aquellos individuos que han crecido inmersos en la tecnología digital) todavía estamos en ese periodo de transición/adaptación que nos lleva a un cambio de hábitos y de forma de pensar provocados por el empuje de esta generación. Según cier...

Análisis y Comparación de Modelos de Estudiante Abiertos

—This article is focused on the study of Open Student Models, area that takes on the opening of Student Models' characteristics in Technology Based Learning Systems. In this work a review of the state of the art on Open Student Models is performed. Different approximations of the literature are compared against an opening guide that authors have defined. This guide is formulated on three main p...

Desarrollo y Evaluación de Modelos de Calificación Crediticia

Identificación y Registro Catastral de Cuerpos de Agua mediante Técnicas de Procesamiento Digital de Imagenes

The effects of global climate change on Peruvian glaciers have brought about several processes of deglaciation during the last few years. The immediate effect is the change of size of lakes and rivers. Public institutions that monitor water resources currently have only recent studies which make up less than 10% of the total. The effects of climate change and the lack of updated information int...