Tutorial 10 Bayesian Inference Part 6

Summary

In this video, we continue to apply Okay uh good morning everyone and today we're going we're going to have the s it's third day of week Adnan Darwiche's UCLA course: Learning and Reasoning with This is an introductory video to understand the basics of Series playlist: youtube.com/playlist?list=PLKgGxUJTnqfvdlzN7txeHaup-BJTju-gH. modelling astrophysical observations based on cepheids * probabilistic generative models * systematic and statistical uncertainty ... We begin to develop the Support Vector Machine (SVM). First we need to consider the Maximum Margin classifier.