140915 - Zhongda Xie

Progress:

(1)Learn about MRF model: definitions in PGM(probabilistic graphic model), the mathematical theories of MRF, its applications in IR, comparison with other models(Bayesian Network, CRF).

(2)Optimize the parameters of the MRF implementation for IR.

Plan:

To modify the MRF model in IR, e.g., change the graph structure, or change the feature function.