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--- wiki:team3 [2025/04/06 14:43]
20.171.207.74 old revision restored (2025/04/06 14:33)
+++ wiki:team3 [2025/04/25 07:38] (current)
185.24.11.139 old revision restored (2025/04/08 18:07)
@@ Line 3: / Line 3: @@
 [[https://class.coursera.org/pgm-003/lecture|課程網站 : Probabilistic Graphical Model]]
-====== 討論平台 ======
+====== 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 ======
-^Topic^Week^Meeting Time^
+^ Heading 1      ^ Heading 2                  ^ Heading 3          ^
-|Introduction and Overview |(Week 1)| |
+| Row 1 Col 1    | this cell spans vertically | Row 1 Col 3        |
-|Bayesian Network Fundamentals |(Week 1)||
+| Row 2 Col 1    | :::                        | Row 2 Col 3        |
-|Template Models |(Week 1)||
+| Row 3 Col 1    | :::                        | Row 2 Col 3        |
-|ML-class Octave Tutorial |(Week 1, Optional)||
-  Structured CPDs (Week 2)
+^Topic                     ^Week    ^   Meeting Time^
-  Markov Network Fundamentals (Week 2)
+|Introduction and Overview |(Week 1)|7-11|
+|Bayesian Network Fundamentals |(Week 1)|:::     |
-  Representation Wrapup: Knowledge Engineering (Week 3)
+|Template Models |(Week 1)|:::                   |
-  Inference: Belief Propagation, Part 1 (Week 3)
+|ML-class Octave Tutorial |(Week 1, Optional)|:::|
+|Structured CPDs |(Week 2)| |
-  Inference: Belief Propagation, Part 2 (Week 4)
+|Markov Network Fundamentals |(Week 2)| |
-  Inference: MAP Estimation, Part 1 (Week 4)
+|Representation Wrapup: Knowledge Engineering| (Week 3)| |
+|Inference: Belief Propagation, Part 1 |(Week 3)| |
-  Inference: MAP Estimation, Part 2 (Week 5)
+|Inference: Belief Propagation, Part 2 |(Week 4)| |
-  Inference: Sampling Methods (Week 5)
+|Inference: MAP Estimation, Part 1| (Week 4)| |
+|Inference: MAP Estimation, Part 2| (Week 5)| |
-  Inference: Temporal Models and Wrap-up (Week 6)
+|Inference: Sampling Methods |(Week 5)| |
-  Decision Theory (Week 6)
+|Inference: Temporal Models and Wrap-up|(Week 6)| |
-  ML-class Revision (Week 6, Optional)
+|Decision Theory |(Week 6)| |
-  Learning: Overview (Week 6)
+|ML-class Revision| (Week 6, Optional)| |
+|Learning: Overview |(Week 6)| |
-  Learning: Parameter Estimation in BNs (Week 7)
+|Learning: Parameter Estimation in BNs| (Week 7)| |
-  Learning: Parameter Estimation in MNs (Week 7)
+|Learning: Parameter Estimation in MNs|(Week 7)| |
+|Structure Learning| (Week 8)| |
-  Structure Learning (Week 8)
+|Learning With Incomplete Data| (Week 9)| |
+|Learning: Wrapup |(Week 9)| |
-  Learning With Incomplete Data (Week 9)
+|Summary| (Week 9)| |
-  Learning: Wrapup (Week 9)
-  Summary (Week 9)

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