Lecturers:
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SUNDAY |
MONDAY |
TUESDAY |
WEDNESDAY |
THURSDAY |
FRIDAY |
SATURDAY |
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9am - Tijl De Bie
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Mehryar Mohri |
Nicolo Cesa-Bianchi Shai Ben David |
Ben Taskar (PGMs) |
Jaak Vilo |
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Tijl De Bie
John Shawe-Taylor |
Tamas Gaal |
DAY TRIP |
Elisa Ricci
Ben Taskar |
Colin Campbell |
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Welcome Buffet |
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DETAILED PROGRAM
Nicolo' Cesa-Bianchi, University of Milano - On-line learning
algorithms: theory and practice
Nello Cristianini, University of Bristol, UK – Who needs Patterns?
Tijl De Bie, University of Bristol, UK – Patterns for Breakfast
Mehryar Mohri, Courant
Institute, NYU - Weighted Transducers and Rational Kernels - Theory and
Algorithms.
(topics: weighted transducers theory and algorithms; kernels for computational
biology and text and speech processing).
John Shawe-Taylor,
University College London – PAC Bayes Analysis of Learning Systems
The lecture will introduce the PAC Bayes approach to the statistical
analysis of learning. After some historical introduction, the key
theorems will be covered. We will then consider some applications
including for Support Vector Machines and novelty detection. A
discussion of the status of the prior in the approach will lead to an
investigation of how learning the prior can be used in practical
applications. Discussions of further extensions of the approach will
conclude the presentation.
Gaál Tamás, Xerox Research Centre Europe - Similarity and differences
by finite automata
(in HMMs, kernels, morphological analysers, compilers and
image compressors).
Ben Taskar, University of Pennsylvania - Probabilistic Graphical
Models and Structured Prediction
Jaak Vilo, University of Tartu, Estonia – Patterns in Biosequences
+ SEMINARS (40mins) and POSTERS