Distribution regression for sequential data

Distribution regression refers to the supervised learning problem where labels are only available for groups of inputs instead of individual inputs. In this paper, we develop a rigorous mathematical framework for distribution regression where inputs are complex data streams. Leveraging properties of...

Полное описание

Библиографические подробности
Главные авторы: Lemercier, M, Salvi, C, Damoulas, T, Bonilla, EV, Lyons, T
Формат: Internet publication
Язык:English
Опубликовано: 2020
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