A Marginalized Variational Bayesian Approach to the Analysis of Array Data

author: Yiming Ying, University of Bristol

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*Slides*
0:00	- Variational approaches to the analysis of array data - Announcement
0:09	Variational approaches to the analysis of array data
0:24	Outline
0:56	Motivation
1:16	Continued I: Motivation - 1
1:47	Continued I: Motivation - 2
2:40	Continued II: Motivation
3:37	Continued III: Motivation
4:42	Bayesian mixture model
5:37	Continued I (mixture model)
6:50	Bayesian mixture model
6:59	Continued II (mixture model)
8:40	Heuristic view of variational Bayesian inference
9:18	Continued I: Variational inference
11:27	Continued III: Variational inference
12:52	Continued IV: Variational inference
13:30	Maximum a posterior inference
14:45	Problems with MAP
15:13	Marginalized variational Bayes
17:14	Deriving updating equations
17:34	Continued I: Deriving updating equations
17:48	Continued II: Deriving updating equations
17:53	Continued III: Deriving updating equations
17:59	Continued II: Deriving updating equations
18:01	Continued III: Deriving updating equations
18:03	Continued IV: Variational GMM
19:01	Experiments and results
19:39	Continued-I (Leukemia)
20:45	Continued-II (Leukemia)
20:58	Continued-I (Lungcancer)
21:36	Continued-II (Lungcancer)
21:46	Conclusion
22:18	References
22:57	- Questions
24:32	- Questions
25:49	- Questions

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