This is an old revision of the document!

Probabilistic Graphical Model

討論方式

每週會開一頁Hackpad，讓大家可以共同編輯閱讀時想到的問題和解答。每週也會有一次討論會，由同學自願幫大家簡單介紹課程大綱和心得，同時帶大家檢討Hackpad未完成的問題。
時間：每週一12:00~14:00
地點：R301
week 1 Hackpad
week 2 Hackpad
week 3 Hackpad

Topic	Week	Meeting Time	主持人
Introduction and Overview	(Week 1)	7-13	高瑞宗
Bayesian Network Fundamentals	(Week 1)	7-13	高瑞宗
Template Models	(Week 1)	7-13	高瑞宗
ML-class Octave Tutorial	(Week 1, Optional)	7-13	高瑞宗
Structured CPDs	(Week 2)	7-20	陳均豪
Markov Network Fundamentals	(Week 2)	7-20	陳均豪
Representation Wrapup: Knowledge Engineering	(Week 3)	7-27
Inference: Belief Propagation, Part 1	(Week 3)	7-27
Inference: Belief Propagation, Part 2	(Week 4)	8-3	張舒凱
Inference: MAP Estimation, Part 1	(Week 4)	8-3	張舒凱
Inference: MAP Estimation, Part 2	(Week 5)	8-10	林傳恩
Inference: Sampling Methods	(Week 5)	8-10	林傳恩
Inference: Temporal Models and Wrap-up	(Week 6)	8-17	張志宏
Decision Theory	(Week 6)	8-17	張志宏
ML-class Revision	(Week 6, Optional)	8-17	張志宏
Learning: Overview	(Week 6)	8-17	張志宏
Learning: Parameter Estimation in BNs	(Week 7)	8-24
Learning: Parameter Estimation in MNs	(Week 7)	8-24
Structure Learning	(Week 8)	8-31	馮銘漢
Learning With Incomplete Data	(Week 9)	9-7	賴至得
Learning: Wrapup	(Week 9)	9-7	賴至得
Summary	(Week 9)	9-7	賴至得

Name	Mail
張舒凱	b00902061@ntu.edu.tw
高瑞宗	fredericstgo@gmail.com