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Local Approaches for Fast, Scalable and Accurate Learning with Kernels

The present thesis deals with the fundamental machine learning issues of increasing the accuracy of learning systems and their computational performances. The key concept which is exploited throughout the thesis, is the tunable trade-off between local and global approaches to learning, integrating t...

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Main Author: Segata, Nicola
Format: Doctoral Thesis
Published: University of Trento 2009
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