After considering the various dimensions of innovation policy, this paper reviews the experiences of the Czech Republic (CR) in implementing such policies in the post-1990 transition period. Particular attention is paid to the contribution of small and medium-sized enterprises (SMEs)…

The preferred temperature (PT) of Poecilia sphenops (Pisces, Poeciliidae) (n = 240, 1.13 +/- 0.06 g wet weight, 3.26 +/- 0.88 cm standard length) from Presa Piedra Azul, Oaxaca, Mexico, was measured at acclimation temperature of 20 degreesC, 23 degreesC,…

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RESUMO: O conhecimento sobre a distribuição granulométrica de partículas sólidas é essencial para as áreas de material de construção, mecânica dos solos, física dos solos, hidrossedimentologia, entre outras. Em geral, as técnicas utilizadas para a avaliação da distribuição granulométrica de…

The region of Huatusco, in Veracruz, Mexico, is an area of high coffee production. Coffee trees are sensitive to temperature and precipitation variations. Those climatic elements are related to the altitude, aspect and slope it? the agroecological shadow system. A…

An increasing number of organizations are involved in the development of strategic
information systems for effective linkages with their suppliers, customers, and other
channel partners involved in transportation, distribution, warehousing and maintenance
activities. An efficient inter-organizational inventory…

Las competencias representan el despliegue de una forma de razón que anula el "yo pienso" y "cómo yo explico" que debe darse en el diálogo de saberes como expresión intersubjetiva. En este contexto, el proceso tradicional de evaluación está vinculado…

In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowledge from an annotated corpus and this knowledge is represented in the form of…

by Jose Maria Gonzalez Pinto., Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2002., Includes bibliographical references (p. 68-69).

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.…