#4 I. Supervised Learning (4) | Mathematical and Information Sciences VII | UTokyo Channel

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Content

Arts and Sciences

Mathematical and Information Sciences VII

#4 | I. Supervised Learning (4)

Chapter

前回までの復習

00:05

分類問題の交差検証

04:48

精度、再現率、f1スコア

10:00

多クラス分類問題

16:55

0-1損失関数

30:10

多クラスヒンジ関数

39:11

多クラスロジスティック関数

41:59

カーネル法

49:04

特徴関数

54:47

カーネルトリック

1:08:40

カーネル関数の例

1:24:33

Arts and Sciences

Mathematical and Information Sciences VII

#4 | I. Supervised Learning (4)

1:29

Available for Audio-Only Listening

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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

分類問題の交差検証

04:48

精度、再現率、f1スコア

10:00

多クラス分類問題

16:55

0-1損失関数

30:10

多クラスヒンジ関数

39:11

多クラスロジスティック関数

41:59

カーネル法

49:04

特徴関数

54:47

カーネルトリック

1:08:40

カーネル関数の例

1:24:33

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
#4 I. Supervised Learning (4)

Chapter

前回までの復習

00:05

分類問題の交差検証

04:48

精度、再現率、f1スコア

10:00

多クラス分類問題

16:55

0-1損失関数

30:10

多クラスヒンジ関数

39:11

多クラスロジスティック関数

41:59

カーネル法

49:04

特徴関数

54:47

カーネルトリック

1:08:40

カーネル関数の例

1:24:33

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

Seminar - Career Development in IFIs

Multilateral Financial Institutions: Rules and Practice

#12 Seminar - Career Development in IFIs

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

Academic Frontier Lecture Series

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

INTERNATIONAL REFUGEE LAW

International Refugee Law - Essentials and Comparatives

#16 INTERNATIONAL REFUGEE LAW

1-11 Computing Linear Algebra

Special Lecture at UTokyo "Linear Algebra"

1-11 Computing Linear Algebra

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Physics of Transition Metal Oxides

#7 Metallic Oxides

Seminar - Career Development in IFIs

Multilateral Financial Institutions: Rules and Practice

#12 Seminar - Career Development in IFIs

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

Academic Frontier Lecture Series

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

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