============================================================================= | Lecture (331/I) | Practice (310/II) | Feb Mar Apr. | Apr. | 28 07 14 21 28 04 11 18 | 06 13 20 27 ------------------|---------------------------------------------------------- Koo Sehyeon | ok -- -- ok ok ok ok ok | ok ok ok -- Guest | ok | ============================================================================== 02/28 The key equation of Bayesian probability: prob(hypothesis|evidence) = ? 03/07 No one shown up => canceled 03/14 No one shown up => canceled 03/21 Baysian Classification with Gaussian distribution 1-D & 2-D 03/28 Border equation between two classes in 2D and larger dimension 04/04 Bayesian network examples & formula for inference 04/11 Formula for inference probability of a hypothesis from some evidenses 04/18 Bayesian Decision network & Dynamic Bayesian Network ------------------------------------------------------------------------------ 04/06 Try to plot 100 points of random Gaussian pdf in 1-D and 2-D 04/13 Example of simple Bayesian network 04/20 Example of Bayesian Decision network 04/27 Example of Dynamic Bayesian network ------------------------------------------------------------------------------ 13:37-13:52=0.15=> 14 14:03-14:35=0.32=> 31/45