网易首页
47. Lecture 16_ Learning_ Support Vector Machines - 2
2023年9月22日 896观看
人工智能
大学课程 / 计算机
itunes 人工智能是计算机科学的一个分支,它企图了解智能的实质,并生产出一种新的能以人类智能相似的方式做出反应的智能机器,该领域的研究包括机器人、语言识别、图像识别、自然语言处理和专家系统等。
共87集
17.2万人观看
1
Lecture 1_ Introduction and Scope - 1
15:48
2
Lecture 1_ Introduction and Scope - 2
15:56
3
Lecture 1_ Introduction and Scope - 3
15:45
4
Lecture 2_ Reasoning_ Goal Trees and Problem Solving - 1
15:21
5
Lecture 2_ Reasoning_ Goal Trees and Problem Solving - 2
15:30
6
Lecture 2_ Reasoning_ Goal Trees and Problem Solving - 3
15:21
7
Lecture 3_ Reasoning_ Goal Trees and Rule-Based Expert Systems - 1
16:40
8
Lecture 3_ Reasoning_ Goal Trees and Rule-Based Expert Systems - 2
16:48
9
Lecture 3_ Reasoning_ Goal Trees and Rule-Based Expert Systems - 3
16:34
10
Lecture 4_ Search_ Depth-First, Hill Climbing, Beam - 1
16:15
11
Lecture 4_ Search_ Depth-First, Hill Climbing, Beam - 2
16:22
12
Lecture 4_ Search_ Depth-First, Hill Climbing, Beam - 3
16:09
13
Lecture 5_ Search_ Optimal, Branch and Bound, A_ - 1
16:14
14
Lecture 5_ Search_ Optimal, Branch and Bound, A_ - 2
16:15
15
Lecture 5_ Search_ Optimal, Branch and Bound, A_ - 3
16:12
16
Lecture 6_ Search_ Games, Minimax, and Alpha-Beta - 1
16:07
17
Lecture 6_ Search_ Games, Minimax, and Alpha-Beta - 2
16:11
18
Lecture 6_ Search_ Games, Minimax, and Alpha-Beta - 3
16:00
19
Lecture 7_ Constraints_ Interpreting Line Drawings - 1
16:26
20
Lecture 7_ Constraints_ Interpreting Line Drawings - 2
16:34
21
Lecture 7_ Constraints_ Interpreting Line Drawings - 3
16:24
22
Lecture 8_ Constraints_ Search, Domain Reduction - 1
15:10
23
Lecture 8_ Constraints_ Search, Domain Reduction - 2
15:17
24
Lecture 8_ Constraints_ Search, Domain Reduction - 3
15:02
25
Lecture 9_ Constraints_ Visual Object Recognition - 1
17:12
26
Lecture 9_ Constraints_ Visual Object Recognition - 2
17:20
27
Lecture 9_ Constraints_ Visual Object Recognition - 3
17:08
28
Lecture 10_ Introduction to Learning, Nearest Neighbors - 1
16:40
29
Lecture 10_ Introduction to Learning, Nearest Neighbors - 2
16:44
30
Lecture 10_ Introduction to Learning, Nearest Neighbors - 3
16:39
31
Lecture 11_ Learning_ Identification Trees, Disorder - 1
16:34
32
Lecture 11_ Learning_ Identification Trees, Disorder - 2
16:43
33
Lecture 11_ Learning_ Identification Trees, Disorder - 3
16:30
34
Lecture 12_ Learning_ Neural Nets, Back Propagation - 1
16:00
35
Lecture 12_ Learning_ Neural Nets, Back Propagation - 2
16:05
36
Lecture 12_ Learning_ Neural Nets, Back Propagation - 3
15:56
37
Lecture 13_ Learning_ Genetic Algorithms - 1
15:47
38
Lecture 13_ Learning_ Genetic Algorithms - 2
15:51
39
Lecture 13_ Learning_ Genetic Algorithms - 3
15:45
40
Lecture 14_ Learning_ Sparse Spaces, Phonology - 1
15:58
41
Lecture 14_ Learning_ Sparse Spaces, Phonology - 2
16:05
42
Lecture 14_ Learning_ Sparse Spaces, Phonology - 3
15:53
43
Lecture 15_ Learning_ Near Misses, Felicity Conditions - 1
15:39
44
Lecture 15_ Learning_ Near Misses, Felicity Conditions - 2
15:47
45
Lecture 15_ Learning_ Near Misses, Felicity Conditions - 3
15:40
46
Lecture 16_ Learning_ Support Vector Machines - 1
16:33
47
Lecture 16_ Learning_ Support Vector Machines - 2
16:40
48
Lecture 16_ Learning_ Support Vector Machines - 3
16:33
49
Lecture 17_ Learning_ Boosting - 1
17:15
50
Lecture 17_ Learning_ Boosting - 2
17:21
51
Lecture 17_ Learning_ Boosting - 3
17:13
52
Lecture 18_ Representations_ Classes, Trajectories, Transitions - 1
16:22
53
Lecture 18_ Representations_ Classes, Trajectories, Transitions - 2
16:26
54
Lecture 18_ Representations_ Classes, Trajectories, Transitions - 3
16:17
55
Lecture 19_ Architectures_ GPS, SOAR, Subsumption, Society of Mind - 1
16:24
56
Lecture 19_ Architectures_ GPS, SOAR, Subsumption, Society of Mind - 2
16:28
57
Lecture 19_ Architectures_ GPS, SOAR, Subsumption, Society of Mind - 3
16:22
58
Lecture 21_ Probabilistic Inference I - 1
16:11
59
Lecture 21_ Probabilistic Inference I - 2
16:12
60
Lecture 21_ Probabilistic Inference I - 3
16:06
61
Lecture 22_ Probabilistic Inference II - 1
16:17
62
Lecture 22_ Probabilistic Inference II - 2
16:24
63
Lecture 22_ Probabilistic Inference II - 3
16:13
64
Lecture 23_ Model Merging, Cross-Modal Coupling, Course Summary - 1
16:32
65
Lecture 23_ Model Merging, Cross-Modal Coupling, Course Summary - 2
16:38
66
Lecture 23_ Model Merging, Cross-Modal Coupling, Course Summary - 3
16:24
67
Mega-Recitation 1_ Rule-Based Systems - 1
15:42
68
Mega-Recitation 1_ Rule-Based Systems - 2
15:46
69
Mega-Recitation 1_ Rule-Based Systems - 3
15:42
70
Mega-Recitation 2_ Basic Search, Optimal Search - 1
17:21
71
Mega-Recitation 2_ Basic Search, Optimal Search - 2
17:23
72
Mega-Recitation 2_ Basic Search, Optimal Search - 3
17:17
73
Mega-Recitation 3_ Games, Minimax, Alpha-Beta - 1
17:01
74
Mega-Recitation 3_ Games, Minimax, Alpha-Beta - 2
17:02
75
Mega-Recitation 3_ Games, Minimax, Alpha-Beta - 3
16:56
76
Mega-Recitation 4_ Neural Nets - 1
17:35
77
Mega-Recitation 4_ Neural Nets - 2
17:37
78
Mega-Recitation 4_ Neural Nets - 3
17:32
79
Mega-Recitation 5_ Support Vector Machines - 1
16:40
80
Mega-Recitation 5_ Support Vector Machines - 2
16:41
81
Mega-Recitation 5_ Support Vector Machines - 3
16:39
82
Mega-Recitation 6_ Boosting - 1
16:41
83
Mega-Recitation 6_ Boosting - 2
16:44
84
Mega-Recitation 6_ Boosting - 3
16:41
85
Mega-Recitation 7_ Near Misses, Arch Learning - 1
11:04
86
Mega-Recitation 7_ Near Misses, Arch Learning - 2
11:06
87
Mega-Recitation 7_ Near Misses, Arch Learning - 3
10:59
相关视频
05:51
【访谈】儒学的来源和儒学的意义
2022年11月1日
2110观看
11:38
【文化】中庸的精神实质(全五集)(一) - 3
2022年10月29日
4933观看
03:53
《中庸》的五达道说的是什么?
轻知识
1年前
1680观看
第8/43集 · 06:31
孔子从政 - 3
大学课程
2022年10月27日
8528观看
1:07:42
一口气读懂《中庸》思想,领悟2000多年前人类智慧结晶
轻知识
11月前
1952观看
06:56
中庸之道的核心思想就一个字“诚”,为什么“诚”是中庸的精髓?
轻知识
2023年9月2日
1746观看
05:46
中庸里面“执其两端,用其中于民”,这句话真正的本质是什么?
轻知识
2023年9月12日
1253观看
02:32
汉武帝罢黜百家,独尊儒术,是真儒学吗
轻知识
10月前
1067观看
第8/51集 · 09:29
朱熹的理学思想 - 3
大学课程
2022年10月27日
3620观看
05:22
孔子的救世秘籍!仁爱,礼治,德治,中庸~孔子 - 3
轻知识
1年前
3228观看
第2/8集 · 09:55
儒学中的普世价值(一) - 3
大学课程
2022年10月27日
3073观看
15:27
【转载】直播回放:浙江省台州市高中历史陈家华网络名师工作室系列课程(全4讲)(汉代儒学) - 1
2023年8月8日
1497观看
第16/37集 · 05:58
宋明理学对仁道的哲学阐释
大学课程
2022年9月29日
7399观看
01:45
傅佩荣:真正懂孔子的最多两个人,第一个好猜,第二个很难猜得到
轻知识
10月前
1477观看
02:54
博物致知丨何以中国 何以我们
轻知识
1年前
1642观看
第21/33集 · 12:20
武汉大学《说文解字》:宫室与数目类基础字形讲析 - 3
大学课程
2022年10月19日
3085观看