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Section for Cognitive Systems
DTU Informatics

02459 Course Material Download

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Lecture 1: Bayesian learning, factor models and approximate inference

Background reading and resources


Lecture 2: Sparse Kernel Machines

Background reading and resources


Lecture 3: Continuous latent variables

Background reading and resources


Project 1: Song features for meta data classification


Project 2: Instrument detection


Project 4: Modelling fMRI data by kernel PCA and ICA


Project 5: Social networks - Community detection by spectral clustering


Project 6: Sparse Factor Models


Project 8: Analysis of NETFLIX recommendation data


Project 9: Infinite mixture models


Project 10: Slice sampling


Project 11: Graph based semi supervised learning



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