PPT-CS b351 Learning Probabilistic Models

Motivation Past lectures have studied how to infer characteristics of a distribution given a fullyspecified Bayes net Next few lectures where does the Bayes net

data likelihood maximum learning likelihood data learning maximum strength structure log distribution model prior probability parameters yds distributions independence opp flips beta

Presentation Embed Code

<iframe width="560" height="315" src="https://www.docslides.com/embed/651778" frameborder="0" allowfullscreen></iframe>

Download Presentation

Download Presentation The PPT/PDF document "CS b351 Learning Probabilistic Models" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.