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 Motivation 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.