Others Continuous Bayesian Networks Linear Gaussian Models - 1D localisation, 4 approaches: Canonical Gaussian, Bayes's theorem for Gaussian Variables, Expectation Propagation and Kalman Filter EP Gaussian approximation with moment matching, aka proj() operator in Expectation Propagation Expectation Propagation for the Clutter Problem Linear Dynamical Systems Linear Dynamical Systems M-step (prior mean, emission variance, transition variance) Linear Dynamical Systems EM (learning prior mean and emission variance only from multiple data sequences) Others Plotting gaussians Resources for Bayesian Networks