en-de
en-es
en-fr
en-pt
en-sl
en
en-zh
0.25
0.5
0.75
1.25
1.5
1.75
2
Dirichlet Processes, Chinese Restaurant Processes, and all that
Published on Feb 25, 200787566 Views
Bayesian approaches to learning problems have many virtues, including their ability to make use of prior knowledge and their ability to link related sources of information, but they also have many vic
Related categories
Chapter list
Dirichlet Processes..00:03
Some Well-Worn...02:27
Some Well-Worn...04:10
decisio-Theoretic..04:23
decisio-Theoretic..06:32
decisio-Theoretic..06:38
The De Finetti...06:57
The De Finetti...07:22
The De Finetti...08:47
Directed...08:59
Inference..09:18
Inference...09:36
Gibbs Sampling09:54
Variation Algorithms10:31
plates11:04
Outline11:58
Mixture Models12:26
Model Selection...13:18
Latent Dirichlet...14:07
Dirichlet Distribution16:14
The Topic Simplex16:43
Probabilistic Modeling...17:26
Correspondence LDA18:11
Automatic Annotation19:00
Model Selection...19:47
Chinese Restaurant..20:28
The CRP..24:20
Gibbs Sampling25:42
NIPS Data26:42
NIPS Data27:16
Haplotype Modeling27:37
Haplotype Modeling29:18
CRP-based..30:31
Model Selection...31:48
Haplotype Modeling32:45
Multiple Inference..33:29
Hierarhical...33:49
Hierarhical...34:15
Multiple Clustering...34:21
Dirichlet Process34:48
The Posterior...37:54
Stick-Breaking...39:31
Dirichlet Process...40:58
Integrating Out G41:53
Inference for...42:51
Variational Inference43:17
Example43:49
Example44:18
Multiple Clustering...44:47
Hierarchical..45:22
Hierarchical..46:05
Gibbs Sampling...46:59
NIPS...47:24
Models47:37
Results47:48
Shared Topics48:47
Hidden Markov Models49:22
Alice in Wonderland50:01
Hierarchical...50:17
Nested Chinese...51:26
Estimating the Hierarchy52:17
Topic Hierarchy...52:48
Topic Hierarchy...53:28
Empirical Bayes..53:43
Conclusions55:03