Advanced Topics in Machine Learning, Notre Dame , Nicholas Zabaras

Generative Bayesian Models for Discrete Data (continued) and Summarizing Posterior Distributions and Bayesian Model Selection Feature selection using mutual information; Classifying documents using bag of words; Summarizing Posterior Distributions, MAP Estimation, Reparametrization, Credible Intervals, HPD Intervals; Bayesian Inference for a Difference in Proportions Model Selection and Cross Validation, Bayesian Model Selection, Bayesian Occam’s Razor, Marginal Likelihood, Evidence Approximation; Bayes Fac