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--- wiki:team3 [2025/07/03 16:57]
51.68.166.195 old revision restored (2025/07/02 14:53)
+++ wiki:team3 [2025/07/03 23:34] (current)
20.171.207.56 old revision restored (2025/07/02 14:41)
@@ Line 2: / Line 2: @@
 [[https://class.coursera.org/pgm-003/lecture|課程網站 : Probabilistic Graphical Model]]
-[[http://www.cs.cmu.edu/~epxing/Class/10708/lecture.html|Eric Xing的投影片]]
-====== 討論方式 ======
+====== 討論平台 ======
-  *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
-  * [[https://hackpad.com/PGM-Week-1-VbZFjPDzwfI|week 1 Hackpad]]
-  * [[https://hackpad.com/PGM-Week-2-sDDrZ5BB2zS|week 2 Hackpad]]
-  * [[https://hackpad.com/PGM-Week-3-fjlGCNMrVZi|week 3 Hackpad]]
 ====== Schedule ======
+^Topic^Week^Meeting Time^
+|Introduction and Overview |(Week 1)| |
+|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)
-^Topic                     ^Week    ^   Meeting Time^ 主持人 ^
+  Structure Learning (Week 8)
-|Introduction and Overview |(Week 1)|7-13|高瑞宗|
-|Bayesian Network Fundamentals |(Week 1)|7-13|高瑞宗|
+  Learning With Incomplete Data (Week 9)
-|Template Models |(Week 1)|7-13|高瑞宗|
+  Learning: Wrapup (Week 9)
-|ML-class Octave Tutorial |(Week 1, Optional)|7-13|高瑞宗|
+  Summary (Week 9)
-|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|歐璨銘|
-|Inference: Belief Propagation, Part 1 |(Week 3)|7-27|歐璨銘|
-|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|曹爗文|
-|Inference: Sampling Methods |(Week 5)|8-10|曹爗文|
-|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|

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