Some Algorthims I had implemented for Probability Graphical Models course at IIT - Delhi
-
Bayes Ball - To identify indepencies and active trails
-
Exhaustive Inference and Model Creation of OCR - character recognition
-
Gibbs Sampling (a MCMC algorthim) - for Approximate inference on large datasets on advanced OCR Model
-
POS and NER tagging of tweets - Linear chain CRF and HMM models of MALLET were used for feature strength
calcualtion