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.
|
|
|
lecture
Statistical Learning Theory
as author at Machine Learning Summer School 2004 - Berder Island,
7958 views
|
|
|
|
tutorial
Kernel Methods and Support Vector Machines
as author at Machine Learning Summer School on Theory and Practice of Computational Learning,
437 views
|
|
|
|
tutorial
Learning Theory
as author at Machine Learning Summer School 2009 - Cambridge,
216 views
|
|
|
|
lecture
Kernel Methods in Statistical Learning
as author at SMART Tutorial Workshop 2007 - Grenoble,
1386 views
|
|
|
|
lecture
Support Vector and Kernel Methods
as author at ACAI - 05,
1054 views
|
|
|
|
event
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
|
|
|
|
lecture
Statistical Significance and Stability Analysis for Patterns
as author at The Analysis of Patterns,
69 views
|
|
|
|
lecture
PAC-Bayes Analysis of Classification
as author at The Analysis of Patterns,
482 views
|
|
|
|
lecture
Kernel Learning for Novelty Detection
as author at NIPS ´08 Workshop: Kernel Learning - Automatic Selection of Optimal Kernels,
211 views
|
|
|
|
opening
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),
65 views
|
|
|
|
lecture
PAC-Bayes Analysis: Background and Applications
as author at Machine Learning Summer School on Theory and Practice of Computational Learning,
100 views
|
|
|
|
lecture
Graph complexity for structure and learning
as author at Pascal Workshop on Graph Theory and Machine Learning,
366 views
|
|
|
|
lecture
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,
119 views
|
|
|
|
tutorial
Statistical Aspects of Pattern Analysis
as author at The Analysis of Patterns,
240 views
|
|
|
|
lecture
Adaptive Modelling via Pattern Analysis and the Kernel Methods approach
as author at Spring School in Complexity Science,
110 views
|
|
|
|
lecture
Exploration versus Exploitation
as author at PASCAL Second Challenges Workshop 2006 - Venice,
87 views
|
|
|
|
lecture
Targeted PDF Learning
as author at Open House on Multi-Task and Complex Outputs Learning 2006 - London,
80 views
|
|
|
|
lecture
Simple UCB for parallel tracking
as author at PASCAL Second Challenges Workshop 2006 - Venice,
76 views
|
|
|
|
lecture
Operational overview and historical background, scientific programme
as author at Pascal Symposium meeting,
together with:
Steve Gunn,
52 views
|
|
|
|
lecture
Challenge results: PASCAL Exploration Vs Exploitation challenge results for phase II
as author at On-line Trading of Exploration and Exploitation 2006 - Whistler,
63 views
|
|
|
|
panel
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),
30 views
|
|
|
|
lecture
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
|