Statistical Aspects of Pattern Analysis

author: John Shawe-Taylor, Centre for Computational Statistics and Machine Learning, University College London
published: Feb. 25, 2007,   recorded: October 2005,   views: 7293

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Abstract: The lectures will introduce the role of statistics in pattern analysis with a discussion of the difference between pattern significance and pattern stability. We will go on to discuss composite hypothesis testing and the Bonferroni correction. Concentration inequalities will be introduced and used to assess the statistical reliability of empirical estimates. We move to consider uniform convergence in order to analyse pattern stability. Rademacher complexity will be discussed as a theoretical tool for the bounding of uniform convergence.

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