Data Mining and Machine Learning

Program 2003-04

 

Short Fat Hairy Data

Group Leader: Bertrand Clarke Meetings: Wednesdays at 11:00am@SAMSI

General description of aims and activities
Short Fat Hairy Data refers to the setting in which we have too many models that are too big and too few data that are too small. Serious people refer to this situation as high dimension low sample size, or large p small n. Whatever you call it, it is an emerging field of recognized importance and already a lot of work has been done in this general area.

As a service to the community, we hope to: 1) compile a matrix of the most important techniques and measures of performance used with SFH data; 2) For each cell in the matrix, do a literature review and possibly computations; 3) Summarize the results in a catalog to help guide users.

In addition to this, we recognize the importance of providing a conceptual unity to an emerging field to parallel the compendium of methods and their performance. Consequently, we hope to provide a general theoretical framework for these methods by an examination of model uncertainty. Please your comments, suggestions and general ideas to Bertrand. For anything else related to this group, contact Ernest.


What is happening?
  • Wednesday Oct 15: Ernest will give a talk on Overcompleteness and Function Approximation
  • We now have a space on the Website reserved to the description of people's research interests. Please send your detailed info as soon as possible. It would be very nice if you could type your document in a html editor. Thanks.
  • Please visit the ISBA 2004 World Meeting Website. It is a great meeting of Bayesians from around the World, and it would be a good thing to have a decent representation of SAMSI over there.
  • Please contact Bertrand or Ernest if you have questions.

Archive of Public Resources Internal News and Resources

Emerging Clusters
Literature review The Matrix The Catalog Model Uncertainty
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Leader: Bertrand Clarke
Members:
  • Ernest Fokoue Xiaodong Lin
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