Computer Science 688 - Probabilistic Graphical Models
Spring
2013
01
3.00
Benjamin Marlin
TU TH 2:30PM 3:45PM
UMass Amherst
13742
This course will cover Bayesian and Markov networks and their dynamic and relational extensions; exact and approximate inference methods; estimation of both the parameters and structure of graphical models.
Open to CMPSCI graduate students only.