Introduction to Probabilistic Graphical Models

ECSE-6810

This course covers topics related to learning and inference with different types of Probabilistic Graphical Models (PGMs). It also demonstrates the application of PGMs to different fields. The course covers both directed and undirected graphical models, both parameter and structure learning, and both exact and approximated inference methods.

3 credits
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
2022
Introduction To Probabilistic Graphical Models (3c)
  • Qiang Ji
Seats Taken: 5/30
2021
2020
Introduction To Probabilistic Graphical Models (3c)
  • Qiang Ji
Seats Taken: 17/30
2019
2018
Introduction To Probabilistic Graphical Models (3c)
  • Qiang Ji
Seats Taken: 27/30
2017
2016
Introduction To Probabilistic Graphical Models (3c)
  • Qiang Ji
Seats Taken: 19/36
2015
2014
Introduction To Probabilistic Graphical Models (3c)
  • Qiang Ji
Seats Taken: 8/30
2013
2012
2011
2010
2009
2008
2007