Learning from experience, the cyclical interplay of thinking and doing, is increasingly
important as organizations struggle to cope with rapidly changing environments and more
complex and interdependent sets of knowledge. This paper confronts two central issues
for organizational learning: (1)…

Este artículo presenta una propuesta de Geografía del Clima, que se contrapone a la
noción de una Climatología Geográfica. Por lo tanto, volviendo a los inicios de la Climatología
en Brasil, se ha buscado establecer las bases conceptuales de la…

O processo de Descoberta de Conhecimento em Bancos de Dados Geográficos (DCBDG) busca encontrar padrões, informações e relacionamento espacial implícitos em dados descritivos e espaciais armazenados em bancos de dados geográficos. Este tipo de descoberta é muito importante para o…

his dissertation analyzes how local knowledge improves environmental decisions. The premise is that controlling pollution and addressing public health disparities are not problems that professionals alone can solve. Concerned lay publics, especially low-income populations and people of color that experience…

Instruction may be seen as the intentional creation of conditions around learning so as to facilitate the achievement of determined goals. Normally, instruction is based upon certain educational strategies. It is well accepted in the field of educational technology that…

Dans ce mémoire, nous décrivons le travail effectué pour étendre nos connaissances sur les sources d’instabilité instrumentales en imagerie de résonance magnétique, en particulier dans le domaine anatomique par une étude où cinq adultes ont été scannés quatre fois dans…

La presente investigación tuvo como objetivo principal realizar un diagnóstico sobre el estado actual de la comunicación del Parque- Museo del Agua. Una vez finalizada, se detectó varias falencias, en cuanto; al desconocimiento del museo por parte de la gente,…

Strategic management as an academic field of study has spanned over four decades. As an interdisciplinary subject that enjoys concurrent contributions by allied disciplines such as economics and social science, numerous industries have benefited from applying tools and concepts developed…

.

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.…