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Learning latent activites in large scale dynamical problems

Date: 
Tuesday 26th February 2008 - 11:00 to 12:00
Venue: 
INI Seminar Room 2
Abstract: 

Many machine learning problems can be cast as problems of learning highly structured latent activities or dynamics. I will discuss typical approaches to these problems, and illustrate this using the problems of modelling handwriting and modelling fMRI data. However the problem of really learning complicated structural dynamics still seems elusive, and I will briefly discuss what approaches may be fruitful in achieving this.

University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons