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13 Feb 2023: Journal of Economic and Social Measurement, 25:59–71. Minka, T. P., Winn, J.

13 Feb 2023: 2πvexp. ( ‖y m‖. 2. 2v. ). (2). In some situations more complex predictive densities are appropriate (for exam-ple multi-modal).

13 Feb 2023: LETTER Communicated by Volker Tresp. Variational Learning for Switching State-Space Models. Zoubin GhahramaniGeoffrey E. HintonGatsby Computational Neuroscience Unit, University College London, London WC1N3AR, U.K. We introduce a new statistical

27 Jan 2023: For exam-ple, to represent 30 bits of information about the history of a time sequence, anHMM would need K = 230 distinct states.

13 Feb 2023: distribution. For exam p l e, t o represent t h e factoriza- tion (1) we would draw an arc f r o m W to Y b u t n

13 Feb 2023: For exam-ple, given binary variables taking values in {0, 1}, we can use an auxiliaryvariable to turn a degree 3 term into four terms of degree 1 or 2:.

13 Feb 2023: Max–Planck–Institut f ür biologische KybernetikMax Planck Institute for Biological Cybernetics. Technical Report No. 136. Approximate Inference forRobust Gaussian Process. Regression. Malte Kuss1, Tobias Pfingsten1,2, Lehel Csató1,Carl E.

13 Feb 2023: Faculty of InformaticsInstitute for AnthropomaticsIntelligent Sensor-Actuator-Systems Laboratory (ISAS)Prof. Dr.-Ing. Uwe D. Hanebeck Sensor-Actuator-Systems. Intelligent. Efficient Reinforcement Learningusing Gaussian Processes. Marc Peter

13 Feb 2023: Gaussian Processes forState Space Models andChange Point Detection. Ryan Darby Turner. Department of Engineering. University of Cambridge. A thesis submitted for the degree of. Doctor of Philosophy. July 17, 2011. b. Acknowledgements. I would like

27 Jan 2023: This approach will also allow us to exam-ine the robustness of the inferences with respect to choices inthe prior distribution over parameters and to study differentchoices for the priors.