| organization: | Centre for Computational Statistics and Machine Learning, University College London, http://web4.cs.ucl.ac.uk/research/csml/ |
| homepage: | http://www.cs.ucl.ac.uk/staff/j.shawe-taylor/ |
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Description
John S Shawe-Taylor is a professor at University College London (UK) where he is Director of the Centre for Computational Statistics and Machine Learning (CSML). His main research area is Statistical Learning Theory, but his contributions range from Neural Networks, to Machine Learning, to Graph Theory. John Shawe-Taylor obtained a PhD in Mathematics at Royal Holloway, University of London in 1986. He subsequently completed an MSc in the Foundations of Advanced Information Technology at Imperial College. He was promoted to Professor of Computing Science in 1996. He has published over 150 research papers. He moved to the University of Southampton in 2003 to lead the ISIS research group. He has been appointed the Director of the Centre for Computational Statistics and Machine Learning at University College, London from July 2006. He has coordinated a number of European wide projects investigating the theory and practice of Machine Learning, including the NeuroCOLT projects. He is currently the scientific coordinator of a Framework VI Network of Excellence in Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL) involving 57 partners.
Lectures:
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Statistical Significance and Stability Analysis for Patterns
as author at The Analysis of Patterns, 56 views |
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Opening and Awards Ceremony
as chairman at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), together with: Wray Buntine (chairman), Marko Grobelnik (chairman), Dunja Mladenić (chairman), 60 views |
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Learning Theory
as author at The 13th Machine Learning Summer School, 182 views |
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PAC-Bayes Analysis: Background and Applications
as author at Machine Learning Summer School on Theory and Practice of Computational Learning, 86 views |
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Kernel Methods and Support Vector Machines
as author at Machine Learning Summer School on Theory and Practice of Computational Learning, 361 views |
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Kernel Learning for Novelty Detection
as author at NIPS ´08 Workshop: Kernel Learning - Automatic Selection of Optimal Kernels, 200 views |
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Theory of Matching Pursuit in Kernel Defined Feature Spaces
as author at NIPS ´08 Workshop: New Challenges in Theoretical Machine Learning: Learning with Data-dependent Concept Spaces, 103 views |
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Sparsity in machine learning: approaches and analyses
as author at SCHW03 Future Directions in High-Dimensional Data Analysis: New Methodologies: New Data Types and New Applications, 0 views |
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Operational overview and historical background, scientific programme
as author at Pascal Symposium meeting, together with: Steve Gunn, 51 views |
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Panel
as coauthor at Pascal Symposium meeting, together with: Gunnar Rätsch (coauthor), Colin de la Higuera (moderator), Marko Grobelnik (coauthor), José Balcázar (coauthor), Nello Cristianini (coauthor), 29 views |
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PAC-Bayes Analysis of Classification
as author at The Analysis of Patterns, 464 views |
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Graph complexity for structure and learning
as author at Pascal Workshop on Graph Theory and Machine Learning, 353 views |
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Kernel Methods in Statistical Learning
as author at SMART Tutorial Workshop, 1351 views |
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Dynamical Systems, Stochastic Processes and Bayesian Inference
as organizer at Dynamical Systems, Stochastic Processes and Bayesian Inference, together with: Cedric Archambeau (organizer), Manfred Opper (organizer), 0 views |
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Challenge results: PASCAL Exploration Vs Exploitation challenge results for phase II
as author at On-line Trading of Exploration and Exploitation, 61 views |
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Targeted PDF Learning
as author at OPEN HOUSE on Multi-Task and Complex Outputs Learning, 78 views |
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Exploration versus Exploitation
as author at PASCAL Challenges Workshop 2, 84 views |
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Simple UCB for parallel tracking
as author at PASCAL Challenges Workshop 2, 75 views |
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Adaptive Modelling via Pattern Analysis and the Kernel Methods approach
as author at Spring School in Complexity Science, 108 views |
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Statistical Aspects of Pattern Analysis
as author at The Analysis of Patterns, 226 views |
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Support Vector and Kernel Methods
as author at ACAI - 05, 1015 views |
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Statistical Learning Theory
as author at Machine Learning Summer School 2004 - Berder Island, 7725 views |
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