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Kinetic analysis and inter-subject registration of brain PET images Bieth, Marie
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Eliciting preferences sequentially using partially observable Markov decision processes Zawaideh, Zaid
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Epistemic strategies and games on concurrent processes Knight, Sophia
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Learning approximate representations of partially observable systems Dinculescu, Monica
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Bayesian reinforcement learning for POMDP-based dialogue systems Png, ShaoWei
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On the detection and prevention of consistency anomalies in multi-tier and cloud platforms Zellag, Kamal
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Compressed predictive state representation: an efficient moment-method for sequence prediction and sequential decision-making Hamilton, William
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Bayesian exploration in Markov decision processes Castro Rivadeneira, Pablo Samuel
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Proof theoretical foundations for constructive Description Logic Clément, Ian
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On planning, prediction and knowledge transfer in fully and partially observable Markov decision processes Castro Rivadeneira, Pablo Samuel
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