#9 III. Stochastic Treatment (2) | Mathematical and Information Sciences VII | UTokyo Channel

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Content

Arts and Sciences

Mathematical and Information Sciences VII

#9 | III. Stochastic Treatment (2)

Chapter

グラフィカルモデル

00:05

確率分布族の例

10:13

点推定法

24:44

最尤推定

30:02

各手法の定式化

43:23

経験損失最小化

44:24

MAP推定

54:14

正則化つき経験損失最小化

1:12:56

潜在変数モデルの最尤推定

1:23:28

Arts and Sciences

Mathematical and Information Sciences VII

#9 | III. Stochastic Treatment (2)

1:39

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#AI & Information Science

#Official UTokyo Courses (OCW)

#Arts and Sciences

Lecturer

Shin Matsushima

Graduate School of Information Science and Technology

※Affiliations and positions are as of the time of recording.

Chapter

グラフィカルモデル

00:05

確率分布族の例

10:13

点推定法

24:44

最尤推定

30:02

各手法の定式化

43:23

経験損失最小化

44:24

MAP推定

54:14

正則化つき経験損失最小化

1:12:56

潜在変数モデルの最尤推定

1:23:28

Mathematical and Information Sciences VII

Content List

#1 I. Supervised Learning (1)

#2 I. Supervised Learning (2)

#3 I. Supervised Learning (3)

#4 I. Supervised Learning (4)

#5 I. Supervised Learning (5)・II. Unsupervised Learning(1)

#6 II. Unsupervised Learning (2)

#7 II. Unsupervised Learning (3)

#8 III. Stochastic Treatment (1)

#9 III. Stochastic Treatment (2)

#10 III. Stochastic Treatment (3)

#11 IV. Optimization Methods (1)

#12 IV. Optimization Methods (2)

#1 I. Supervised Learning (1)

#2 I. Supervised Learning (2)

#3 I. Supervised Learning (3)

#4 I. Supervised Learning (4)

#5 I. Supervised Learning (5)・II. Unsupervised Learning(1)

#6 II. Unsupervised Learning (2)

#7 II. Unsupervised Learning (3)

#8 III. Stochastic Treatment (1)

#9 III. Stochastic Treatment (2)

#10 III. Stochastic Treatment (3)

#11 IV. Optimization Methods (1)

#12 IV. Optimization Methods (2)

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HOME
Mathematical and Information Sciences VII
#9 III. Stochastic Treatment (2)

Chapter

グラフィカルモデル

00:05

確率分布族の例

10:13

点推定法

24:44

最尤推定

30:02

各手法の定式化

43:23

経験損失最小化

44:24

MAP推定

54:14

正則化つき経験損失最小化

1:12:56

潜在変数モデルの最尤推定

1:23:28

Mathematical and Information Sciences VII

Content List

#1 I. Supervised Learning (1)

#2 I. Supervised Learning (2)

#3 I. Supervised Learning (3)

#4 I. Supervised Learning (4)

#5 I. Supervised Learning (5)・II. Unsupervised Learning(1)

#6 II. Unsupervised Learning (2)

#7 II. Unsupervised Learning (3)

#8 III. Stochastic Treatment (1)

#9 III. Stochastic Treatment (2)

#10 III. Stochastic Treatment (3)

#11 IV. Optimization Methods (1)

#12 IV. Optimization Methods (2)

#1 I. Supervised Learning (1)

#2 I. Supervised Learning (2)

#3 I. Supervised Learning (3)

#4 I. Supervised Learning (4)

#5 I. Supervised Learning (5)・II. Unsupervised Learning(1)

#6 II. Unsupervised Learning (2)

#7 II. Unsupervised Learning (3)

#8 III. Stochastic Treatment (1)

#9 III. Stochastic Treatment (2)

#10 III. Stochastic Treatment (3)

#11 IV. Optimization Methods (1)

#12 IV. Optimization Methods (2)

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1-11 Computing Linear Algebra

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#8 The Personal Voice in What it is To Be Classical: The Essay As From And Content in World Literature

INTERNATIONAL REFUGEE LAW

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#16 INTERNATIONAL REFUGEE LAW

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#12 Seminar - Career Development in IFIs

Symposium on Future Faculty Development／UTokyo Global FFDP (Japanese Version)

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Symposium on Future Faculty Development／UTokyo Global FFDP (Japanese Version)

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1-11 Computing Linear Algebra

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#8 The Personal Voice in What it is To Be Classical: The Essay As From And Content in World Literature

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