Mutual Cuts in Graphs: Learning in Bioinformatics

author: Kristiaan Pelckmans, KU Leuven

Categories

Top: Computer Science: Bioinformatics

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*Slides*
0:00	Predictive Mutual Clustering: Learning in Bioinformatics
0:32	Overview
1:00	Predictive Mutual Clustering
3:05	Predictive Mutual Clustering (Ct’d)
4:40	Predictive Mutual Clustering 1
4:49	Predictive Mutual Clustering (Ct’d) 1
6:12	Predictive Mutual Clustering: Bioinformatics
10:14	Transductive Inference for Graphs
12:07	Transductive Inference (Ct’d) pt 1
14:24	Transductive Inference (Ct’d) pt 2
15:57	Transductive Inference: Restrictions
21:17	Transductive Inference: Restrictions (Ct’d)
23:08	Transductive Inference vs. Clustering
25:48	Predictive Graph Cuts
27:40	Predictive Graph Cuts (Average CUT)
27:59	Predictive Graph Cuts (Product Margin)
29:01	Predictive Graph Cuts (Algorithm)
30:58	Toy example
32:54	Microarray Experiments and Text Corpus
34:14	Microarray Experiments and Text Corpus (Ct’d) pt 1
34:45	Microarray Experiments and Text Corpus (Ct’d) pt 2
35:15	Discussion

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