Tuesday, March 6, 2018 - 1:00pm - 2:00pm
Generalization of the behavior of a system or a phenomenon into a consistent mathematical model is instrumental for a variety of applications. Historically, models were manually derived in a first principles fashion. The first principles approach often offers the derivation of interpretable models of remarkable levels of universality while being supported by little data. Nonetheless, their derivation is time consuming and relies heavily upon domain expertise.
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