![Stochastic control / Bayesian statistics / Estimation theory / Partially observable Markov decision process / Maximum likelihood / Markov decision process / Kalman filter / Marginal likelihood / Normal distribution / Statistics / Dynamic programming / Markov processes Stochastic control / Bayesian statistics / Estimation theory / Partially observable Markov decision process / Maximum likelihood / Markov decision process / Kalman filter / Marginal likelihood / Normal distribution / Statistics / Dynamic programming / Markov processes](https://www.pdfsearch.io/img/e0b2d37be30c4e839e512bed49234ac3.jpg) Date: 2015-01-05 23:35:43Stochastic control Bayesian statistics Estimation theory Partially observable Markov decision process Maximum likelihood Markov decision process Kalman filter Marginal likelihood Normal distribution Statistics Dynamic programming Markov processes | | Sequential Bayesian Optimisation for Spatial-Temporal Monitoring Roman Marchant NICTA & University of Sydney Sydney, Australia [removed]Add to Reading ListSource URL: www-personal.acfr.usyd.edu.auDownload Document from Source Website File Size: 1,50 MBShare Document on Facebook
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