The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

For humans and machines, intelligence requires making sense of the world — inferring simple explanations for the mishmosh of information coming in through our senses, discovering regularities and ...

The Helsinki Probabilistic Machine Learning Lab encompasses seven at the Department of Computer Science of the University of Helsinki, all specializing in probabilistic machine learning methods and ...

The Helsinki Probabilistic Machine Learning Lab is looking for Postdoctoral Researchers and PhD Candidates to contribute to research in probabilistic machine learning theory and its applications.

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...