Third International Workshop on Machine Learning in Systems Biology

Hierarchical Cost-Sensitive Algorithms For Genome-Wide Gene Function Prediction

author:Nicolò Cesa-Bianchi, University of Milan
published: Oct. 5, 2009, recorded: September 2009, views: 28

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Slides

Slides
0:00	Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction
0:43	Motivation
1:45	Main issues
3:21	The hierarchical classification problem
4:29	Hierarchical multilabels
5:25	Ensemble methods - 1
6:00	Ensemble methods - 2
7:31	Cost-sensitive hierarchical top-down
8:56	Ensemble methods - 2
9:30	Cost-sensitive hierarchical top-down
10:18	H-loss
12:51	Hierarchical Bayesian Algorithm
14:02	The Message Passing Algorithm
15:55	Cost-sensitive H-loss
17:03	Hierarchical precision and recall
19:34	Experimental setup – Features sets - 1
19:49	Experimental setup – Features sets - 2
20:23	Sensitivity to cost factor in hbayes-cs
22:11	Results – Hierarchical F-measure
23:47	Per-level performance – Macroaveraged F-measure
24:51	Cost-sensitive hierarchical top-down
25:06	Per-level performance – Macroaveraged F-measure
26:19	Sensitivity to cost factor in hbayes-cs
26:35	Per-level performance – Macroaveraged F-measure
27:03	Conclusions
31:50	Experimental setup – Features sets - 1
32:12	Experimental setup – Features sets - 2
35:43	Cost-sensitive hierarchical top-down

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