Machine Learning & Pattern Recognition

Client: The University of Edinburgh

Date: 11th May 2016

Categories: Machine Learning

Predicting missing pixels using linear regression with adjacent and all pixels, RBF regression with adjacent pixels and neural net with all pixels.

Building a model using unreliable training data – fitting a baseline model, labelling noise model, hierarchical model and MCMC.

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