CMSC 671 Fall 2001. Class #25-26 – Tuesday, November 27 / Thursday, November 29. Today’s class. Neural networks Bayesian learning. Machine Learning: Neural and Bayesian. Chapter 19. Some material adapted from lecture notes by Lise Getoor and Ron Parr. Neural function.
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Class #25-26 – Tuesday, November 27 / Thursday, November 29
Some material adapted from lecture notes by Lise Getoor and Ron Parr
Take it away, Chih-Yun!
Next up: Sohel
→ we get a separate estimation task for each parameter
Goal: Select the best network structure, given the data
Score(structure) = Si Score(family of Xi)Structure selection: Scoring