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Statistical Aspects of Pattern Analysis

This video was recorded at The Analysis of Patterns, Erice 2005. 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.

Keywords:: videolectures, ocwc, oec

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Science and Technology / Computer Science / Programming & Programming Languages

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Material Type:: Presentation
Date Added to MERLOT:: February 8, 2015
Date Modified in MERLOT:: February 8, 2015
Author:: John Shawe-Taylor, Centre for Computational Statistics and Machine Learning, University College London
Submitter:: The Open Education Consortium
Primary Audience:: College General Ed, College Lower Division, College Upper Division
Technical Format:: Video

Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Creative Commons:: This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States