Regularized Discriminant Analysis: A Large Dimensional Study
In this thesis, we focus on studying the performance of general regularized discriminant analysis (RDA) classifiers. The data used for analysis is assumed to follow Gaussian mixture model with different means and covariances. RDA offers a rich class of regularization options, covering as special cas...
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| Language: | en |
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2018
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| Online Access: | http://hdl.handle.net/10754/627734 |