We will meet at usual time Saturday 27 Feb 2016 ( 3:00 PM - 5:00 PM ) in KD
102. We will watch video lectures on Conditional Random Fields (Prof Hugo
Larochelle) followed by 20 minute discussion for better understanding.
Following are the topics we will be covering

Linear chain CRF
Context window
Computing the partition function
Computing marginals
(20 minute discussion)
Performing classification
Factors, sufficient statistics and linear CRF
Markov network
Factor graph
Belief propagation
(20 minute discussion)

Only prerequisite required is basic maths (Prob-Stats) and preliminary
understanding of Feed Forward Neural Nets.