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Consensus clustering for Bayesian mixture models.
BACKGROUND: Cluster analysis is an integral part of precision medicine and systems biology, used to define groups of patients or biomolecules. Consensus clustering is an ensemble approach that is widely used in these areas...
On the capacity and superposition of minima in neural network loss function landscapes
Abstract
Minima of the loss function landscape (LFL) of a neural network are locally optimal sets of weights that extract and process information from the input data to make...