2019/4/4 19:34

要旨

Title: Probabilistic Modelling With the Experts

Samuel Kaski
Finnish Center for Artificial Intelligence FCAI

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 typical 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. 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.

詳細情報

日時 2019/05/16(木) 10:30 - 12:00
URL https://c5dc59ed978213830355fc8978.doorkeeper.jp/events/89248

場所

〒103-0027 東京都中央区日本橋1-4-1 日本橋一丁目三井ビルディング 15階