111 resultados para Aprendizaje automático (Inteligencia artificial)
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[EN]The classification speed of state-of-the-art classifiers such as SVM is an important aspect to be considered for emerging applications and domains such as data mining and human-computer interaction. Usually, a test-time speed increase in SVMs is achieved by somehow reducing the number of support vectors, which allows a faster evaluation of the decision function. In this paper a novel approach is described for fast classification in a PCA+SVM scenario. In the proposed approach, classification of an unseen sample is performed incrementally in increasingly larger feature spaces. As soon as the classification confidence is above a threshold the process stops and the class label is retrieved...
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[EN]In this paper an architecture for an estimator of short-term wind farm power is proposed. The estimator is made up of a Linear Machine classifier and a set of k Multilayer Perceptrons, training each one for a specific subspace of the input space. The splitting of the input dataset into the k clusters is done using a k-means technique, obtaining the equivalent Linear Machine classifier from the cluster centroids...
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Programa de doctorado: Tecnología de la Información y sus aplicaciones. La fecha de publicación es la fecha de lectura
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Programa de doctorado: Tecnología de la Información y sus aplicaciones (Bienio 2005-2007). La fecha de publicación es la fecha de lectura
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Programa de doctorado: Tecnología Industrial. La fecha de publicación es la fecha de lectura.
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Permitida la difusión del código bajo los términos de la licencia BSD de tres cláusulas.