These computational models, inspired by the human brain ... the effectiveness and benefits of deep learning, Bayesian regularization, and graphical analysis for urban planning.

The course sets up the foundations and covers the basic algorithms covered in probabilistic machine learning. Several techniques that are probabilistic in nature are introduced and standard topics are ...

The Machine and Human Intelligence research group led by Associate Professor Luigi Acerbi focuses on probabilistic machine and human learning ... for approximate Bayesian inference both as tools for ...

"To address this, we turned to Bayesian non-parametric models ... closer to the lifelong learning observed in humans. "The ...