SCSC Probabilistic Graphical Models SIG

Useful Links (Update useful links that you want to share with everyone)

Packages

• PgmPy (Python) [link]
• CRFsuite (C++) [link]
• python-CRFsuite (Python) [link]

Posts/Slides/Explanations

• dsindex's blog [link]
  • Naive Bayesian, HMM, Maximum Entropy Model, CRF

Papers/Textbooks

• Understanding Belief Propagation and its Generalizations [link]
• Introduction to Conditinal Random Fields [link]

Lecture

• Stanford PGM (by Daphne Koller) [link]
• Coursera PGM (by Daphne Koller) [link] (identical to the lecture right above)
• Hidden Markov Model (by Sebastian Thrun) [link]

Plan

• 12/31: Ch. 18, 19, 20, 21, 22, 23 (End of Lecture!!)

TODO

• HMM (Particle Filter) implementation
• CRF implementation

Members (Introduce Yourself)

• 조재민 (j-min)
• 최상우
• 손현석