Machine Learning Coffee seminar: Samuel Kaski ”Probabilistic modelling with the experts”

Helsinki region machine learning researchers will start our week by an exciting machine learning talk. The aim is to gather people from different fields of science with interest in machine learning. Porridge and coffee is served at 9:00 and the talk will begin at 9:15.
Machine Learning Coffee Seminar, image: Matti Ahlgren

Probabilistic modelling with the experts

Samuel Kaski

Professor of Computer Science, Aalto University



I will discuss multiple-data-source prediction problems typical of omics-based precision medicine. What is less typical is that some of the data sources are expert users, whose time is costly, changing the problem to active learning or experimental design for prediction. We have addressed this setup as a probabilistic modelling problem, where different types of sources need different modelling assumptions. I will demonstrate that promising results can be achieved in treatment effectiveness prediction tasks in restricted settings, even by explaining human variation with noise models. Richer behaviour requires richer models that draw from cognitive science.

Please spread the news and join us for our weekly habit of beginning the week by an interesting machine learning talk!

Subscribe to the mailing list where seminar topics are announced beforehand or check out the next talks at the seminar webpage.


Suomen tekoälykeskus FCAI (ulkoinen linkki)

Tekoälyn tutkimuksen ja kehittämisen keskus.

Finnish Center for Artificial Intelligence

Helsinki Institute for Information Technology HIIT (ulkoinen linkki)

HIIT on Aalto-yliopiston ja Helsingin yliopiston yhteinen tietotekniikan tutkimuslaitos

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