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...
المؤلف الرئيسي: | Zand, J |
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مؤلفون آخرون: | Roberts, S |
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2021
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الموضوعات: |
مواد مشابهة
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