Multimodal probabilistic reasoning for prediction and coordination problems in machine learning

<p>In this thesis we consider the role of multimodality in decision making and coordination problems in machine learning. We propose the use of a series of multimodal probabilistic methods, using extensions of (finite) mixture models to tackle challenges in time series forecasting, efficient u...

Descrición completa

Detalles Bibliográficos
Autor Principal: Zand, J
Outros autores: Roberts, S
Formato: Thesis
Idioma:English
Publicado: 2021
Subjects: