Comments - Marrying Kalman Filtering & Machine Learning - Data Science Central2020-12-05T18:38:03Zhttps://www.datasciencecentral.com/profiles/comment/feed?attachedTo=6448529%3ABlogPost%3A449627&xn_auth=noI think you are right and youâ€¦tag:www.datasciencecentral.com,2020-05-30:6448529:Comment:9551572020-05-30T02:27:31.569ZRobert R. Tuccihttps://www.datasciencecentral.com/profile/RobertRTucci
<p>I think you are right and your search terms are not very good. Try looking under "dynamical Bayesian Networks" <a href="https://en.wikipedia.org/wiki/Dynamic_Bayesian_network" target="_blank">https://en.wikipedia.org/wiki/Dynamic_Bayesian_network</a></p>
<p>and "Probabilistic Programming" <a href="https://en.wikipedia.org/wiki/Probabilistic_programming" target="_blank">https://en.wikipedia.org/wiki/Probabilistic_programming</a></p>
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<p>I think you are right and your search terms are not very good. Try looking under "dynamical Bayesian Networks" <a href="https://en.wikipedia.org/wiki/Dynamic_Bayesian_network" target="_blank">https://en.wikipedia.org/wiki/Dynamic_Bayesian_network</a></p>
<p>and "Probabilistic Programming" <a href="https://en.wikipedia.org/wiki/Probabilistic_programming" target="_blank">https://en.wikipedia.org/wiki/Probabilistic_programming</a></p>
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