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Deterministic and Statistical Methods in Machine Learning - First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures (Paperback, 2005 ed.)
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Deterministic and Statistical Methods in Machine Learning - First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures (Paperback, 2005 ed.)
Series: Lecture Notes in Artificial Intelligence, 3635
Expected to ship within 10 - 15 working days
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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
research.AdditionalfundingwasprovidedbythePASCALEuropeanFramework 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.
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