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:

lecture
Statistical Learning Theory
as author at  Machine Learning Summer School 2004 - Berder Island,
12214 views
  tutorial
Kernel Methods and Support Vector Machines
as author at  Machine Learning Summer School on Theory and Practice of Computational Learning,
1335 views
lecture
Kernel Methods in Statistical Learning
as author at  SMART Tutorial Workshop 2007 - Grenoble,
1871 views
  tutorial
Learning Theory
as author at  Machine Learning Summer School 2009 - Cambridge,
854 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),
  invited talk
Limitations of kernel and multiple kernel learning
as author at  1st International Workshop on Similarity-Based Pattern Analysis and Recognition,
106 views
lecture
Support Vector and Kernel Methods
as author at  Advanced Course on AI (ACAI), Ljubljana 2005,
1644 views
  opening
Opening Remarks and Awards
as author at  Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS) 2010,
together with: Richard Zemel, Terrence J. Sejnowski,
320 views
lecture
PAC-Bayes Analysis of Classification
as author at  The Analysis of Patterns,
873 views
  lecture
Kernel Learning for Novelty Detection
as author at  NIPS ´08 Workshop: Kernel Learning - Automatic Selection of Optimal Kernels,
473 views
lecture
PAC-Bayes Analysis: Background and Applications
as author at  Machine Learning Summer School on Theory and Practice of Computational Learning,
320 views
  lecture
Graph complexity for structure and learning
as author at  Pascal Workshop on Graph Theory and Machine Learning,
536 views
poster
Multiple Kernel Testing for SVM-based System Identification
as author at  New Directions in Multiple Kernel Learning,
112 views
  lecture
Statistical Significance and Stability Analysis for Patterns
as author at  The Analysis of Patterns,
200 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,
235 views
  tutorial
Statistical Aspects of Pattern Analysis
as author at  The Analysis of Patterns,
368 views
opening
Opening and Awards Ceremony at the ECML PKDD 2009
as chairman at  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD),
together with: Dunja Mladenić (chairman), Marko Grobelnik (chairman), Wray Buntine (chairman),
156 views
  lecture
Adaptive Modelling via Pattern Analysis and the Kernel Methods approach
as author at  Spring School in Complexity Science,
202 views
lecture
PAC-Bayes Analysis: Links to Luckiness and Applications
as author at  PASCAL Foundations and New Trends of PAC Bayesian Learning 2010,
61 views
  lecture
Exploration versus Exploitation
as author at  PASCAL Second Challenges Workshop 2006 - Venice,
122 views
lecture
Operational overview and historical background, scientific programme
as author at  Pascal Symposium meeting,
together with: Steve Gunn,
87 views
  lecture
Targeted PDF Learning
as author at  Open House on Multi-Task and Complex Outputs Learning 2006 - London,
101 views
lecture
Simple UCB for parallel tracking
as author at  PASCAL Second Challenges Workshop 2006 - Venice,
93 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,
85 views
panel
Panel
as coauthor at  Pascal Symposium meeting,
together with: Gunnar Rätsch (coauthor), Colin de la Higuera (moderator), Marko Grobelnik (coauthor), Jose L. Balcazar (coauthor), Nello Cristianini (coauthor),
51 views
  lecture
locked Conclusion
as author at  2nd Pre-kick off meeting,
lecture
locked Introduction to the Foundation meeting
as author at  2nd Pre-kick off meeting,