Conservative decision-making and inference in uncertain dynamical systems
<p>The demand for automated decision making, learning and inference in uncertain, risk sensitive and dynamically changing situations presents a challenge: to design computational approaches that promise to be widely deployable and flexible to adapt on the one hand, while offering reliable guar...
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| Format: | Thesis |
| Language: | English |
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2014
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