====== Probabilistic Graphical Model ====== [[https://class.coursera.org/pgm-003/lecture|課程網站 : 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:12:00~14:00 *地點:R301 [[https://hackpad.com/PGM-Week-1-VbZFjPDzwfI|week 1 Hackpad]] ====== Schedule ====== ^ Heading 1 ^ Heading 2 ^ Heading 3 ^ | Row 1 Col 1 | this cell spans vertically | Row 1 Col 3 | | Row 2 Col 1 | ::: | Row 2 Col 3 | | Row 3 Col 1 | ::: | Row 2 Col 3 | ^Topic ^Week ^ Meeting Time^ |Introduction and Overview |(Week 1)|7-11| |Bayesian Network Fundamentals |(Week 1)|::: | |Template Models |(Week 1)|::: | |ML-class Octave Tutorial |(Week 1, Optional)|:::| |Structured CPDs |(Week 2)| | |Markov Network Fundamentals |(Week 2)| | |Representation Wrapup: Knowledge Engineering| (Week 3)| | |Inference: Belief Propagation, Part 1 |(Week 3)| | |Inference: Belief Propagation, Part 2 |(Week 4)| | |Inference: MAP Estimation, Part 1| (Week 4)| | |Inference: MAP Estimation, Part 2| (Week 5)| | |Inference: Sampling Methods |(Week 5)| | |Inference: Temporal Models and Wrap-up|(Week 6)| | |Decision Theory |(Week 6)| | |ML-class Revision| (Week 6, Optional)| | |Learning: Overview |(Week 6)| | |Learning: Parameter Estimation in BNs| (Week 7)| | |Learning: Parameter Estimation in MNs|(Week 7)| | |Structure Learning| (Week 8)| | |Learning With Incomplete Data| (Week 9)| | |Learning: Wrapup |(Week 9)| | |Summary| (Week 9)| | ====== Team Leader ====== ^Name^Mail^ |張舒凱|b00902061@ntu.edu.tw| |高瑞宗|fredericstgo@gmail.com| ====== Team Member ====== ^Name^Mail^ |歐璨銘|b01902077@ntu.edu.tw| |張天慈|b02902091@ntu.edu.tw| |張志宏|b02902005@ntu.edu.tw| |曹爗文|b02902030@ntu.edu.tw| |朱瑤章|dswf65411@gmail.com| |吳岳樺|b02901078@ntu.edu.tw| |陳均豪|b99202064@ntu.edu.tw| |林傳恩|b01902033@ntu.edu.tw| |賴建霖|b00902093@ntu.edu.tw| |賴至得|b01902067@ntu.edu.tw| |馮銘漢|b00902001@ntu.edu.tw| |高瑞宗|fredericstgo@gmail.com| |張舒凱|b00902061@ntu.edu.tw| ====== Weekly Progress ====== *Week1 (7/6~7/12) -Group meeting -Coursera Progress :