#10 III. Stochastic Treatment (3) | Mathematical and Information Sciences VII | UTokyo Channel

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Content

Arts and Sciences

Mathematical and Information Sciences VII

#10 | III. Stochastic Treatment (3)

Chapter

前回までの復習

00:05

潜在変数モデル

03:06

クラスタリングの例

05:46

潜在変数モデルにおけるEMアルゴリズム

46:01

EMアルゴリズム

58:59

Eステップ

1:10:13

Mステップ

1:21:46

Arts and Sciences

Mathematical and Information Sciences VII

#10 | III. Stochastic Treatment (3)

1:35

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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

前回までの復習

00:05

潜在変数モデル

03:06

クラスタリングの例

05:46

潜在変数モデルにおけるEMアルゴリズム

46:01

EMアルゴリズム

58:59

Eステップ

1:10:13

Mステップ

1:21:46

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
#10 III. Stochastic Treatment (3)

Chapter

前回までの復習

00:05

潜在変数モデル

03:06

クラスタリングの例

05:46

潜在変数モデルにおけるEMアルゴリズム

46:01

EMアルゴリズム

58:59

Eステップ

1:10:13

Mステップ

1:21:46

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)

Related Content

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#16 INTERNATIONAL REFUGEE LAW

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Academic Frontier Lecture Series

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

A Cross-Continent, Collaborative, Interdisciplinary, Case-Based Course on Technology and Sustainable Development [EN]

GFD Symposium 2019ーFrontiers in Higher Education: Diversifying and Transforming Teaching

#5 A Cross-Continent, Collaborative, Interdisciplinary, Case-Based Course on Technology and Sustainable Development [EN]

1-11 Computing Linear Algebra

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1-11 Computing Linear Algebra

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#12 Seminar - Career Development in IFIs

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#5 A Cross-Continent, Collaborative, Interdisciplinary, Case-Based Course on Technology and Sustainable Development [EN]

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