3 resultados para Baston, Guillaume André René, 1741-1825.

em Universidade Federal do Rio Grande do Norte(UFRN)


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Le but de cet article est de présenter les éléments de preuve de l existence de Dieu présentée dans les Méditationes Métaphysiques de René Descartes, en soulignant son importance et son rôle dans le projet philosophique cartésien. La recherche visait á comprendre comment Descartes, étant um homme de science, la recherche de Dieu dans le pilier et d assurer leur philosophie. Par consé quence que Descartes propose de remplacer lui promettant de construire une nouvelle science fondée sur des bases sûres. Ainsi, le texte suit um ordre qu une partie de doute méthodologique comme um élément essentiel pour surmonter une connaissance née de l incertitude et généralisée et d opinions comme étant de droite, pour finalement atteindre la vérité dans les sciencies, Grace à la découverte Du premier cours, le cogito, moi pensant, alors existantes. Trouvé cette certitude, le sujet qui a en elle l idée d um être infini qui contient toutes perfections et, comme Il fera la démonstration de la preuve a posteriori et a priori. Et donc cet être ne peut pas être considéré comme inexistant projet assurant Descartes

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The study offers a global and interpretative view of the person-environment inter-action at André de Albuquerque Plaza, in Natal, RN, according to a descriptive-exploratory approach that aimed at learning about the space converted into place, as it is perceived and experienced by users, who attribute meaning to it. The main objective was to critically analyze the relationship person-plaza, based on data collected about users perception, utilization and ascribed meaning. I have employed an Environmental Psychology multi-method approach, including informal observations, interactive poster session, videotaping and interviews. The results indicated that the plaza, besides being a passage point, is also a spot of urban convergence for several groups, particularly taxi drivers, flanelinhas, skate boarders and students. In regard to the perception of the place, an overall positive evaluation of the plaza was verified, since people perceive selectively what interests them. In terms of usage, different groups of users presented diverse patterns of utilization, also observed in the attributed meanings. The plaza is a work place for taxi drivers and flanelinhas and a sports arena for the skate boarders, with a practical meaning for both groups. For students and other users it is a place for meeting and leisure, revealing a stronger affective quality, responsible for feelings of well being, tranquility and relaxation. The data so obtained could contribute for future government projects of intervention in those spaces, aiming at its preservation as an open spot among the concrete of city buildings, offering better quality of life, not only for today, but also for future generations

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Data classification is a task with high applicability in a lot of areas. Most methods for treating classification problems found in the literature dealing with single-label or traditional problems. In recent years has been identified a series of classification tasks in which the samples can be labeled at more than one class simultaneously (multi-label classification). Additionally, these classes can be hierarchically organized (hierarchical classification and hierarchical multi-label classification). On the other hand, we have also studied a new category of learning, called semi-supervised learning, combining labeled data (supervised learning) and non-labeled data (unsupervised learning) during the training phase, thus reducing the need for a large amount of labeled data when only a small set of labeled samples is available. Thus, since both the techniques of multi-label and hierarchical multi-label classification as semi-supervised learning has shown favorable results with its use, this work is proposed and used to apply semi-supervised learning in hierarchical multi-label classication tasks, so eciently take advantage of the main advantages of the two areas. An experimental analysis of the proposed methods found that the use of semi-supervised learning in hierarchical multi-label methods presented satisfactory results, since the two approaches were statistically similar results