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Titlebook: Applications of Supervised and Unsupervised Ensemble Methods; Oleg Okun,Giorgio Valentini Book 2009 Springer-Verlag Berlin Heidelberg 2009

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Energy Consumption and Autonomous Driving tries to exploit information on each classifier’s area of expertise (Grading, Delegating, Arbitrating). This paper presents a new ensemble method called partitioner trees that combines both approaches. Information on misclassifications is used to train meta classifiers called partitioners and to sp
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https://doi.org/10.1007/978-981-13-5983-5dimensional data. In the computer vision and image processing fields, this algorithm has been applied to solve various problems like stereo-matching, 3D reconstruction, and image inpainting . In this paper we propose a new technique, inspired to the TVF, that allows to estimate the dimensionality an
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https://doi.org/10.1007/978-981-13-5983-5g to operational long-range transport and dispersion models, but they are also used for the real-time simulation of pollutant dispersion or the accidental release of radioactive nuclides in the atmosphere. In order to compare models, an approach based on the hierarchical agglomeration of distributio
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