Topic Models

VideoLectures.Net
View the talk in context: http://videolectures.net/mlss09uk_blei_tm/
View the complete Machine Learning Summer School (MLSS), Cambridge 2009: http://videolectures.net/mlss09uk_cambridge/
Speaker: David Blei, Computer Science Department, Princeton University

License: Creative Commons CC BY-NC-ND 3.0
More information at http://videolectures.net/site/about/
More talks at http://videolectures.net/

0:00 Topic Models
0:44 The problem with information
1:21 Topic modeling
2:58 Discover topics from a corpus
4:49 Model the evolution of topics over time
5:16 Model connections between topics
6:04 Annotate images
7:33 Topic modeling topics (1)
9:13 Topic modeling topics (2)
10:56 Topic modeling topics (1)
11:57 Topic modeling topics (2)
12:03 Latent Dirichlet Allocation
12:07 Probabilistic modeling
13:24 Intuition behind LDA
15:15 Generative model
22:41 The posterior distribution
23:40 Graphical models (Aside) (1)
24:53 Graphical models (Aside) (2)
25:57 Latent Dirichlet allocation
41:44 The Dirichlet distribution (1)
45:02 The Dirichlet distribution (2)
63:59 Latent Dirichlet allocation (1)
66:54 Latent Dirichlet allocation (2)
67:49 Latent Dirichlet allocation (3)
69:10 Example inference (1)
71:51 Example inference (2)
73:34 Latent Dirichlet allocation (3)
73:56 Example inference (2)
74:02 Example inference (3)
75:50 Example inference (4)
76:07 Example inference (5)
76:56 Used to explore and browse document collections
79:52 Why does LDA "work"?
80:49 Generative model

Видео Topic Models канала VideoLecturesChannel