Random Projections for Machine Learning and Data Mining: Theory & Applications

This is the website for the ECML PKDD 2012 tutorial "Random Projections for Machine Learning and Data Mining: Theory and Applications".

The instructors are Bob Durrant and Ata Kaban.

Bob Durrant received his BSc degree in Mathematics from the Open University UK, and his MSc
degree in Computer Science from the University of Birmingham. He is currently writing up
his PhD which studies the effects of random projections on classifier performance.
His main contributions in this topic have been theoretical results focusing on linear
discriminants and kernel linear discriminants, published at KDD 2010, ICPR 2010
(Prize-winning paper: Best Student Paper in Pattern Recognition and Machine Learning track),
Pattern Recognition Letters 2011 (Invited paper), and AIStats 2012. Bob was formerly a teaching
fellow at Birmingham University and taught Machine Learning and Nature Inspired Design in 2008/09.

Dr Kaban is a lecturer in the School of Computer Science of the University of Birmingham.
Her major research interests concern statistical machine learning and data mining in high

dimensional data spaces, probabilistic modelling of data and Bayesian inference. She has published

over 40 refereed papers in these areas. She was the recipient of an MRC discipline hopping

fellowship award in the academic year 2008/09.


Slides

Handouts
(6 Slides per page)