La transformación de una economía industrial a una economía del conocimiento, está propiciando que las empresas desarrollen una gestión de recurso humano basada en la capacidad de creación, innovación y respuestas oportunas para competir en un mercado competitivo. Esta investigación…

AIM: To discover whether nursing students believed that a post-registration cardiac module was meeting their needs.

METHOD: A descriptive qualitative approach was used in this study. Semi-structured interviews were recorded with a purposive sample of six registered nurses who…

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…

Conversational interfaces have received much attention as a promising natural communication channel between humans and computers. A typical conversational interface consists of three major systems: speech understanding, dialog management and spoken language generation. In such a conversational interface, speech recognition…

Most neural network learning algorithms cannot use knowledge other than what is provided in the training data. Initialized using random weights, they cannot use prior knowledge such as knowledge stored in previously trained networks. This manuscript thesis addresses this problem.…

En el presente trabajo se aborda el marketing como sistema de pensamiento organizacional, enfocado en el marco de la Responsabilidad Social Corporativa (RSC), para lo cual se consideran varias posturas acerca de su significado. Las decisiones de compra y la…

Objetivos: Evaluar el impacto educativo de una actividad escolar dirigida a mejorar los conocimientos básicos necesarios para la prevención de la malaria en una población escolar perteneciente a una comunidad endémica para esta enfermedad.
Material y Métodos: Se diseño un…

The amount of information stored in databases doubled at every 20 months. There is important knowledge stored in text databases. The aim of these article was to solve the problem of “searching from general to particular” (SGP) in document databases.…

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