News archive for Center for Data Science
The focus of this seminar will be on trajectory inference methods, a novel class of unsupervised computational techniques to model dynamic processes.
Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators (04.09.2019)
In this talk, the speaker will introduce an approach to dealing with simulator imperfection from a point of view of functional approximation that can be implemented through a certain machine learning method, such as kernel-based learning.
Computational science presentation