Multimodal probabilistic reasoning for prediction and coordination problems in machine learning

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...

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Dades bibliogràfiques
Autor principal:	Zand, J
Altres autors:	Roberts, S
Format:	Thesis
Idioma:	English
Publicat:	2021
Matèries:	Machine learning

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