Key Sequence Notation New Concepts inference Inference for Gaussian Models approximate inference Direct Sampling Likelihood Weighted Sampling parameter learning Maximum Likelihood Parameter Learning Baysian Parameter Learning Dirichlet Distribution Important Results / Claims “there is usually a tradeoff between the computational time you are willing to devote, and th Bayesian Learning on Binary Distributions Questions for Likelihood Weighted Sampling, where do the conditional probability values come from Interesting Factoids