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This concept emerges in a game crush gear ps1 english probabilistic (Bayesian) framework, where regularization can be performed by selecting a larger prior probability over simpler models; but also in statistical learning theory, where the goal is to minimize over two quantities: the 'empirical risk' and the 'structural risk which.
198 Layer l 1 displaystyle l1 learns the representation of the previous layer l displaystyle l, extracting the n l displaystyle n_l principal component (PC) of the projection layer l displaystyle l output in the feature domain induced by the kernel.
Oxford University Press.
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Documenta Matematica, Extra Volume ismp : 389400.
Workshop Soft Computing Applications.
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