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

Posted in Science on August 02, 2008


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

Lecture slides:

  • Need of System Approach for Biological Explanation of Anti-learnable Signature
  • Overview
  • Anti-learning in natural data
  • CRT response for esophageal cancer
  • Prediction of CRT response for Oesophageal Cancer
  • Learning and anti-learning mode of supervised classification
  • Label permutation test x 1,000; AC data
  • Prediction for anti-learnable data
  • LTO-cross validation
  • KDD’02 task: identification of aryl hydrocarbon receptor genes in yeast
  • Classification of KDD’02 data
  • Predicting spontaneous termination of paroxysmal atrial fibrillation episodes
  • Anti-learning in synthetic data
  • Example of perfect anti-learning with linear classifiers
  • Geometry of high dimensional samples
  • An idea of high-dimensional mimicry

Author: Adam Kowalczyk, National ICT Australia

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Tags: Science, Lectures, Computer Science, VideoLectures.Net, Bioinformatics