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cs.NE2023
Brain in the Dark: Design Principles for Neuro-mimetic Learning and Inference
Mehran H. Bazargani, Szymon Urbas, Karl Friston
Even though the brain operates in pure darkness, within the skull, it can infer the most likely causes of its sensory input. An approach to modelling this inference is to assume th…
stat.ME2023
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression
Szymon Urbas, Pierre Lovera, Robert Daly +3
High-dimensional spectral data -- routinely generated in dairy production -- are used to predict a range of traits in milk products. Partial least squares (PLS) regression is ubiqu…