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...
Main Author: | Zand, J |
---|---|
Other Authors: | Roberts, S |
Format: | Thesis |
Language: | English |
Published: |
2021
|
Subjects: |
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