The course sets up the foundations and covers the basic algorithms covered in probabilistic machine learning ... topics are revisited from a Bayesian viewpoint. The module provides training in ...

Machine Learning ... Bayesian approach would be a Hierarchical Constraint Resolution Model. An excellent introduction to Hierarchical Constraint modeling is Solving Hierarchical Constraints over ...

Pearl figured out how to do that using a scheme called Bayesian networks ... headlines tout the latest breakthroughs in machine learning and neural networks. We read about computers that can ...

The Mining Lab aims to build statistical models to tackle hard learning problems with limited labels in knowledge-rich domain (e.g., medicine and bioinformatics). Two central research themes: - ...

This course is available on the MSc in Applied Social Data Science, MSc in Data Science, MSc in Quantitative Methods ... machine learning. Several techniques that are probabilistic in nature are ...