Learning latent activites in large scale dynamical problems
Seminar Room 2, Newton Institute Gatehouse
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.