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...

書誌詳細
第一著者:	Zand, J
その他の著者:	Roberts, S
フォーマット:	学位論文
言語:	English
出版事項:	2021
主題:	Machine learning

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