John Shawe-Taylor

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John Shawe-Taylor
J.Shawe-Taylor.jpg
Born 1953 (age 60–61)
Cheltenham
Fields Computer science, Statistics
Institutions University of Southampton
University College London
Alma mater Imperial College London
Royal Holloway, University of London
Thesis Regularity and Transitivity in Graphs (1985)
Doctoral advisor Norman L. Biggs
Known for textbooks on statistical learning theory and support vector machines
Website
www0.cs.ucl.ac.uk/staff/j.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.

Publications[edit]

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[edit]

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

External links[edit]