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.
More information at https://github.com/gtinchev/mlpr