The ability to learn about regularities in the environment and to make predictions about future events is fundamental for adaptive behaviour. We have previously shown that people can implicitly encode ...

Catalog description: Presents the underlying theory behind machine learning in proofs-based format. Answers fundamental questions about what learning means and what can be learned via formal models of ...

This course provides foundational and advanced concepts in statistical learning theory, essential for analyzing complex data and making informed predictions. Students will delve into both asymptotic ...

The machines that Bernhard Schölkopf’s scientists work with have nothing to do with levers and pistons or conveyor belts and axle grease. Nor is their research devoted to thermodynamic efficiency, as ...