Decision Making Under Uncertainty - Stanford University
Modern medical decision-making is frequently based on estimates of the transition probability matrix of an absorbing continuous-time Markov process, with ...
Post-Inference Methods for Scalable Probabilistic Modeling and ...We propose three different modeling approaches applied to each patient: one relying on the chains only; and another two making use of the. HMMs. A Markov model for inferring event types on diabetes patients dataobservable Markov decision process, or POMDP. Our focus in this ... Interaction techniques for ambiguity resolution in recognition-based ... Real-time 3D Target Inference via Biomechanical SimulationIn this paper, we review techniques exploiting the graph structure for exact inference, borrowed from optimisation and computer science. They are built on the ...
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