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...
| Auteur principal: | |
|---|---|
| Autres auteurs: | |
| Format: | Thèse |
| Langue: | English |
| Publié: |
2021
|
| Sujets: |