Date |
11:00 May 24, 2019 |
Speaker |
Samuel Kaski,
Professor of Aalto University
and the director of Finnish Center for Artificial Intelligence
(FCAI), Finland.
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Title |
Network biomarker for disease diagnosis and dynamic network biomarker for disease prediction
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Abstract |
I will discuss multiple-data-source prediction and modelling
problems arising in a number of fields, for instance in omics-based
precision medicine. What is less common is that some of the data
sources are experts, whose time is costly, changing the problem to
active learning for prediction. We have addressed this setup as a
probabilistic modelling problem, where different types of sources need
different modelling assumptions, expert user models ultimately drawing
from cognitive science. This brings links to other lines of work on
interactive intent modelling and likelihood-free inference to infer
the user models.
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