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John Shawe Taylor

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Name
  
John Shawe-Taylor


Doctoral advisor
  
John Shawe-Taylor wwwqubititupcomingvisitorphotostaylor08jpg

Institutions
  
University of SouthamptonUniversity College London

Alma mater
  
Imperial College LondonRoyal Holloway, University of London

Thesis
  
Regularity and Transitivity in Graphs (1985)

Known for
  
textbooks on statistical learning theory and support vector machines

Books
  
Kernel Methods for Pattern Analysis, Computational Statistics and Machine Learning: A Sparse Approach

Fields
  
Computer Science, Statistics

Deep er kernels prof john shawe taylor


John Stewart Shawe-Taylor (born 1953) is Director of the Centre for Computational Statistics and Machine Learning at University College, London (UK). His main research area is statistical learning theory.

Contents

John Shawe-Taylor Deeper Kernels Prof John ShaweTaylor YouTube

Ecmlpkdd 2013 deep er kernels invited talk by john shawe taylor


Publications

He has written with Nello Cristianini two books on the theory of support vector machines and kernel methods:

  1. An introduction to support vector machines N.C. and J. S.T. Cambridge University Press, 2000.
  2. Kernel methods for pattern analysis J. S.T and N.C. Cambridge University Press, 2004.

He has published research in neural networks, machine learning, and graph theory.

Schooling

He attended Shrewsbury School and graduated from the University of Ljubljana, Slovenia.

References

John Shawe-Taylor Wikipedia


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