Nature - Probabilistic machine learning and artificial intelligence. Skip to main content. ... clustering, time-series analysis and modelling the topics of documents 36.

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

More information: Vasilis Michalakopoulos et al, A machine learning-based framework for clustering residential electricity load profiles to enhance demand response programs, Applied Energy (2024 ...

The Machine and Human Intelligence research group led by Principal Investigator Luigi Acerbi is looking for a postdoctoral researcher eager to work on new machine learning methods for robust, ...

We use probabilistic machine learning to look at the calibration problem in a probabilistic framework based on Gaussian processes. This immediately gives a way of encoding prior beliefs about the ...

Cluster analysis, a commonly used machine-learning technique, uses these basic features to not only categorize materials and ...

The second part of the module introduces and provides training in further topics of probabilistic machine learning such as Graphical models, mixtures and cluster analysis, Variational approximation, ...