Skip to content
Built from public scholarly records (OpenAlex, ORCID). John S. Shawe-Taylor has not joined pitute yet. Is this you? Join and connect your ORCID iD to claim it, or ask us to remove it.

About

John Stewart Shawe-Taylor is Director of the Centre for Computational Statistics and Machine Learning at University College, London (UK). His main research area is statistical learning theory. He has contributed to a number of fields ranging from graph theory through cryptography to statistical learning theory and its applications. However, his main contributions have been in the development of the analysis and subsequent algorithmic definition of principled machine learning algorithms founded in statistical learning theory. This work has helped to drive a fundamental rebirth in the field of…

Most cited

604 papers in total

2000 · Cambridge University Press eBooks

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

13,842 citationsRead

2004 · Cambridge University Press eBooks

Kernel Methods for Pattern Analysis

6,589 citationsRead

2001 · Neural Computation

Estimating the Support of a High-Dimensional Distribution

6,117 citationsRead

2000 · ePrints Soton (University of Southampton)

An Introduction to Support Vector Machines

4,096 citations

2004 · Neural Computation

Canonical Correlation Analysis: An Overview with Application to Learning Methods

3,205 citationsRead

1990

Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. PCR protocols: a guide to methods and applications

2,599 citations