John Shawe-Taylor
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

John Shawe-Taylor 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

John Shawe-Taylor 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

John Shawe-Taylor Kernel Learning for Novelty Detection

as author at NIPS ´08 Workshop: Kernel Learning - Automatic Selection of Optimal Kernels,
200 views

John Shawe-Taylor 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

John Shawe-Taylor locked 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

John Shawe-Taylor Operational overview and historical background, scientific programme

as author at Pascal Symposium meeting,
together with: Steve Gunn,
51 views

John Shawe-Taylor 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

John Shawe-Taylor PAC-Bayes Analysis of Classification

as author at The Analysis of Patterns,
464 views

John Shawe-Taylor Graph complexity for structure and learning

as author at Pascal Workshop on Graph Theory and Machine Learning,
353 views

John Shawe-Taylor Kernel Methods in Statistical Learning

as author at SMART Tutorial Workshop,
1351 views

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

John Shawe-Taylor Challenge results: PASCAL Exploration Vs Exploitation challenge results for phase II

as author at On-line Trading of Exploration and Exploitation,
61 views

John Shawe-Taylor Targeted PDF Learning

as author at OPEN HOUSE on Multi-Task and Complex Outputs Learning,
78 views

John Shawe-Taylor Exploration versus Exploitation

as author at PASCAL Challenges Workshop 2,
84 views

John Shawe-Taylor 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

John Shawe-Taylor 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