Deterministic and Statistical Methods in Machine Learning First
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Subseries of Lecture Notes in Computer Science
3635
Joab Winkler Mahesan Niranjan Neil Lawrence (Eds.)
Deterministic and Statistical Methods in Machine Learning First International Workshop Sheffield, UK, September 7-10, 2004 Revised Lectures
13
Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Joab Winkler Mahesan Niranjan Neil Lawrence The University of Sheffield, Department of Computer Science Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK E-mail: [email protected] M.Niranjan@sheffield.ac.uk [email protected]
Library of Congress Control Number: 2005933155
CR Subject Classification (1998): I.2, F.2.2, I.5, I.4, F.4.1, H.3 ISSN ISBN-10 ISBN-13
0302-9743 3-540-29073-7 Springer Berlin Heidelberg New York 978-3-540-29073-5 Springer Berlin Heidelberg New York
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Preface
Machine learning is a rapidly maturing field that aims to provide practical methods for data discovery, categorization and modelling. The Sheffield Machine Learning Workshop, which was held 7–10 September 2004, brought together some of the leading international researchers in the field for a series of talks and posters that represented new developments in machine learning and numerical methods. The workshop was sponsored by the Engineering and Physical Sciences Research Council (EPSRC) and the London Mathematical Society (LMS) through the MathFIT program, whose aim is the encouragement of new interdisciplinary research. Additional funding was provided by the PASCAL European Framework 6 Network of Excellence and the University of Sheffield. It was the commitment of these funding bodies that enabled the workshop to have a strong program of invited speakers, and the organizers wish to thank these funding bodies for their financial support. The particular focus for interactions at the workshop was Advanced Research Methods in Machine Learning and Statistical Signal Processing. These proceedings contain work that was presented at the workshop, and ideas that were developed through, or inspired by, attendance at the workshop. The proceedings reflect this mixture and illustrate
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