Deterministic and Statistical Methods in Machine Learning: First International W

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Deterministic and Statistical Methods in Machine Learning by Joab Winkler, Neil Lawrence, Mahesan Niranjan

Constitutes the refereed proceedings of the First International Workshop on Machine Learning held in Sheffield, UK, in September 2004. This title addresses various issues in the field of machine learning that aims to provide practical methods for data discovery, categorisation and modelling.

FORMAT
Paperback LANGUAGE
English CONDITION
Brand New Publisher Description

Machinelearningis arapidlymaturing?eldthataims toprovidepracticalme- ods for data discovery, categorization and modelling. The She?eld Machine Learning Workshop, which was held 7-10 September 2004, brought together some of the leading international researchers in the ?eld 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 - search Council (EPSRC) and the London Mathematical Society (LMS) through the MathFIT program,whose aim is the encouragementof new interdisciplinary 6 Network of Excellence and the University of She?eld. It was the commitment of these funding bodies that enabled the workshop to have a strong program of invited speakers,and the organizerswish to thank these funding bodies for their ?nancial support. The particular focus for interactions at the workshop was - vanced Research Methods in Machine Learning and Statistical Signal proceedings contain work that was presented at the workshop, and ideas that were developed through, or inspired by, attendance at the workshop. The proceedings re?ect this mixture and illustrate the diversity of applications and theoretical work in machine learning. We would like to thank the presenters and attendees at the workshop for the excellent quality of presentation and discussion during the oral and poster sessions. We are also grateful to Gillian Callaghan for her support in the orga- zation of the workshop, and ?nally we wish to thank the anonymous reviewers for their help in compiling the proceedings.

Table of Contents

Object Recognition via Local Patch Labelling.- Multi Channel Sequence Processing.- Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis.- Extensions of the Informative Vector Machine.- Efficient Communication by Breathing.- Guiding Local Regression Using Visualisation.- Transformations of Gaussian Process Priors.- Kernel Based Learning Methods: Regularization Networks and RBF Networks.- Redundant Bit Vectors for Quickly Searching High-Dimensional Regions.- Bayesian Independent Component Analysis with Prior Constraints: An Application in Biosignal Analysis.- Ensemble Algorithms for Feature Selection.- Can Gaussian Process Regression Be Made Robust Against Model Mismatch?.- Understanding Gaussian Process Regression Using the Equivalent Kernel.- Integrating Binding Site Predictions Using Non-linear Classification Methods.- Support Vector Machine to Synthesise Kernels.- Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data.- Variational Bayes Estimation of Mixing Coefficients.- A Comparison of Condition Numbers for the Full Rank Least Squares Problem.- SVM Based Learning System for Information Extraction.

Long Description

Machinelearningis arapidlymaturing'eldthataims toprovidepracticalme- ods for data discovery, categorization and modelling. The She'eld Machine Learning Workshop, which was held 7-10 September 2004, brought together some of the leading international researchers in the ?eld 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 - search Council (EPSRC) and the London Mathematical Society (LMS) through the MathFIT program,whose aim is the encouragementof new interdisciplinary 6 Network of Excellence and the University of She'eld. It was the commitment of these funding bodies that enabled the workshop to have a strong program of invited speakers,and the organizerswish to thank these funding bodies for their ?nancial support. The particular focus for interactions at the workshop was - vanced 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 re'ect this mixture and illustrate the diversity of applications and theoretical work in machine learning. We would like to thank the presenters and attendees at the workshop for the excellent quality of presentation and discussion during the oral and poster sessions. We are also grateful to Gillian Callaghan for her support in the orga- zation of the workshop, and ?nally we wish to thank the anonymous reviewers for their help in compiling the proceedings.

Details ISBN3540290737 Short Title DETERMINISTIC & STATISTICAL ME Language English ISBN-10 3540290737 ISBN-13 9783540290735 Media Book Format Paperback Series Number 3635 Year 2005 Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K Subtitle First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures Place of Publication Berlin Country of Publication Germany Edited by Mahesan Niranjan Pages 341 Illustrations VIII, 341 p. DOI 10.1604/9783540290735;10.1007/11559887 Author Mahesan Niranjan Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Edition Description 2005 ed. Edition 2005th Publication Date 2005-10-11 DEWEY 006.31 Audience Professional & Vocational Country of Origin US Product Class Description Computing: Professional & Programming Series Lecture Notes in Computer Science Alternative 9783540317289
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