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--- wiki:team3 [2025/07/03 16:57]
51.68.166.195 old revision restored (2025/07/02 15:33)
+++ wiki:team3 [2025/07/03 23:34] (current)
20.171.207.56 old revision restored (2025/07/02 14:41)
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 [[https://class.coursera.org/pgm-003/lecture|課程網站 : Probabilistic Graphical Model]]
-====== 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：12:00~14:00
-  *地點：R301
-  [[https://hackpad.com/PGM-Week-1-VbZFjPDzwfI|week 1 Hackpad]]
 ====== Schedule ======
-^ Heading 1      ^ Heading 2                  ^ Heading 3          ^
+^Topic^Week^Meeting Time^
-| Row 1 Col 1    | this cell spans vertically | Row 1 Col 3        |
+|Introduction and Overview |(Week 1)| |
-| Row 2 Col 1    | :::                        | Row 2 Col 3        |
+|Bayesian Network Fundamentals |(Week 1)||
-| Row 3 Col 1    | :::                        | Row 2 Col 3        |
+|Template Models |(Week 1)||
+|ML-class Octave Tutorial |(Week 1, Optional)||
-^Topic                     ^Week    ^   Meeting Time^
+  Structured CPDs (Week 2)
-|Introduction and Overview |(Week 1)|7-11|
+  Markov Network Fundamentals (Week 2)
-|Bayesian Network Fundamentals |(Week 1)|:::     |
-|Template Models |(Week 1)|:::                   |
+  Representation Wrapup: Knowledge Engineering (Week 3)
-|ML-class Octave Tutorial |(Week 1, Optional)|:::|
+  Inference: Belief Propagation, Part 1 (Week 3)
-|Structured CPDs |(Week 2)| |
-|Markov Network Fundamentals |(Week 2)| |
+  Inference: Belief Propagation, Part 2 (Week 4)
-|Representation Wrapup: Knowledge Engineering| (Week 3)| |
+  Inference: MAP Estimation, Part 1 (Week 4)
-|Inference: Belief Propagation, Part 1 |(Week 3)| |
-|Inference: Belief Propagation, Part 2 |(Week 4)| |
+  Inference: MAP Estimation, Part 2 (Week 5)
-|Inference: MAP Estimation, Part 1| (Week 4)| |
+  Inference: Sampling Methods (Week 5)
-|Inference: MAP Estimation, Part 2| (Week 5)| |
-|Inference: Sampling Methods |(Week 5)| |
+  Inference: Temporal Models and Wrap-up (Week 6)
-|Inference: Temporal Models and Wrap-up|(Week 6)| |
+  Decision Theory (Week 6)
-|Decision Theory |(Week 6)| |
+  ML-class Revision (Week 6, Optional)
-|ML-class Revision| (Week 6, Optional)| |
+  Learning: Overview (Week 6)
-|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)| |
-|Learning With Incomplete Data| (Week 9)| |
+  Structure Learning (Week 8)
-|Learning: Wrapup |(Week 9)| |
-|Summary| (Week 9)| |
+  Learning With Incomplete Data (Week 9)
+  Learning: Wrapup (Week 9)
+  Summary (Week 9)

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