Need of Systems Approach for Biological Explanation of Anti-Learnable Signatures

author: Adam Kowalczyk, National ICT Australia

Categories

Top: Computer Science: Bioinformatics

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*Slides*
0:00	- Need of System Approach for Biological Explanation of Anti-learnable Signature - Announcement
0:34	Need of System Approach for Biological Explanation of Anti-learnable Signature
1:10	Overview
1:33	Anti-learning in natural data
3:33	CRT response for esophageal cancer
6:32	Prediction of CRT response for Oesophageal Cancer
8:15	Learning and anti-learning mode of supervised classification
9:01	Label permutation test x 1,000; AC data
10:48	Prediction for anti-learnable data
11:33	LTO-cross validation
14:07	KDD’02 task: identification of aryl hydrocarbon receptor genes in yeast
15:11	Classification of KDD’02 data
16:20	Predicting spontaneous termination of paroxysmal atrial fibrillation episodes
17:49	Anti-learning in synthetic data
19:24	Example of perfect anti-learning with linear classifiers
22:17	Geometry of high dimensional samples
26:00	An idea of high-dimensional mimicry
26:29	- Questions

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