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The aim of this thesis was the discovery and characterisation of new bacteriocins from two sources, fermented foods and human faeces, testing the hypothesis that bacteria.
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The primary end of this thesis is to research better variational formulations for probabilistic visual communication models and esoteric neural networks fashionable terms of process efficiency or sample distribution efficiency.
Lawrence}, title = {variational inference for latent variables and uncertain inputs fashionable {g}aussian processes}.
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Acknowledgements}, year = {2015}.
37 full pdfs related to this paper.
Bayesian learning of orthogonal embeddings for multi.
My thesis provides an introduction to probabilistic non-parametric exemplary construction, gaussian processes and kernel pattern.
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Last Update: Oct 2021
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23.10.2021 07:19
Mho research is mostly in the connexion between kernel methods and deep acquisition, with a.
In neurips workshop on meta-learning.
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