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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile nagusia: Zand, J
Beste egile batzuk: Roberts, S
Formatua: Thesis
Hizkuntza:English
Argitaratua: 2021
Gaiak: