Publications

Title
Citations
Year

Advanced Fraud Detection Techniques for Mobile Telephone Systems

P Burge,
John Shawe-Taylor,
C Cooke,
B Preneel,
B Preneel,
IEE
1997

Fast string matching in stationary ergodic sources

John Shawe-Taylor,
Cambridge University Press
1996

Learning to compress ergodic sources

Jonathan Baxter,
John Shawe-Taylor,
IEEE Computer Society
1996

Continuous Models of Computation

John Shawe-Taylor,
Josef H Röll, Dettelbach, Germany
1996

Mathematical Models of Learning and Connectionism

John Shawe-Taylor,
Dettelbach, Röll
1996

The Complexity of Learning

Carlos Domingo¹,
John Shawe-Taylor,
Boom Koninklijke Uitgevers
1995

Consciousness at the Crossroads of Philosophy and Cognitive Science Selected Proceedings of the Final Meeting of the Tempus Project’Phenomenology and Cognitive Science’Maribor …

Bojan Borstner,
John Shawe-Taylor,
1995

Generalisation of a class of continuous neural networks

John Shawe-Taylor,
Jieyu Zhao,
1995

The Complexity of learning minor closed graph classes

Carlos Domingo Soriano,
John Shawe-Taylor,
1995

ELSEWER Discrete Applied Mathematics 61 (1995) 285

M Anthony,
G Brightwell,
John Shawe-Taylor,
1995

Neural networks for invariant pattern recognition

Jeffrey Wood,
John Shawe-Taylor,
D-Side Publications
1995

Negative Results for Learing Minor Closed Graph Classes

Carlos Domingo,
John Shawe-Taylor,
京都大学数理解析研究所
1995

NIPS Committees

Web Masters,
Thomas G Dietterich,
Suzanna Becker,
Barak Pearlmutter,
Barak Pearlmutter,
MIT Press
2002

Generalisation Analysis for Classes of Continuous Neural Networks

John Shawe-Taylor,
IEEE
1995

Proceedings of the first European conference on Computational learning theory

John Shawe-Taylor,
Martin Anthony,
Oxford University Press, Inc.
1994

Computational Learning Theory: EuroCOLT’93: Based on the Proceedings of the First European Conference on Computational Learning Theory, Organized by the Institute of …

Martin Anthony,
John Shawe-Taylor,
Clarendon Press
1994

Computational Learning Theory: EuroCOLT’93: Based on the Proceedings of the First European Conference on Computational Learning Theory, Organized by the Institute of …

John Shawe-Taylor,
Martin Anthony,
Oxford University Press, USA
1994

First European Conference on Computational Learning Theory (EuroCOLT’93)

Martin Anthony,
John Shawe-Taylor,
Oxford University Press
1994

Bitstream neurons for graph colouring

John Shawe-Taylor,
University of London, Royal Holloway, Department of Computer Science
1994

Learning Minor Closed Graph Classes with Membership and Equivalence Queries

Carlos Domingo,
John Shawe-Taylor,
Hans Bodlaender,
1994

Fast Multiple Keyword Searching

John Shawe-Taylor,
SPRINGER VERLAG KG
1993

Bounds on the Complexity of Testing and Loading Neurons

Martin Anthony,
John Shawe-Taylor,
Springer London
1993

Dual publication and manipulation of the editorial process

PH Cooper,
CW Hanke,
KA Arndt,
LM Dzubow,
LM Dzubow,
Blackwell Publishing Ltd
1991

The Asymptotic Equipartition Property for Two dimensional Ergodic Arrays

John Shawe-Taylor,
1991

Mathematics Computer Science

Martin Anthony,
Norman Biggs,
John Shawe-Taylor,
Morgan Kaufmann
1990

Houghton St. Egham

Martin Anthony,
Morgan Kaufmann
1990

Probabilistic Bit Stream Neural Chip

John Shawe-Taylor,
Peter Jeavons,
M Van Daalen,
University of London. Royal Holloway and Bedford New College. Department of Computer Science
1990

Feedforward Neural Networks: a Tutorial

Dave A Cohen,
John Shawe-Taylor,
Inst of Physics Pub Inc
1989

Review of” Cryptography-An Introduction to Computer Security”, by Seberry and Peiprzek

John Shawe-Taylor,
Prentice Hall, Sydney
1989

Transformational theory of feedforward neural networks

David A Cohen,
C Mannion,
JS Shawe-Taylor,
Pergamon
1988

Consultancy Report on Feasibility of Applying Neural Network Techniques to Unmanned Vehicle Control

John Shawe-Taylor,
1988

Towards a Transformational Theory of Feedforward Neural Networks

D Cohen,
CLT Mannion,
John Shawe-Taylor,
1988

Rotations and Graphs with Large Girth

NL Biggs,
John Shawe-Taylor,
Pitman Advanced Publ. Program
1984

Linearen Algoritem za Testiranje Planarnosti Grafov,(Linear Time Algorithm for Testing Graph Planarity)

John Shawe-Taylor,
1982

Cycle Permutation Graphs with Large Girth

Tomav Pisanski,
John Shawe-Taylor,
Cambridge University Press
1981

Transfer and Zero-Shot Learning for Scalable Weed Detection and Classification in Uav Images

Nicolas Belissent,
José M Peña,
Gustavo A Mesías-Ruiz,
María Pérez-Ortiz,
María Pérez-Ortiz,

Kirjandus:•

T Hastie,
R Tibshirani,
T Friedman,
L Devroye,
L Devroye,

Special Issue from ECML PKDD 2009

Aleksander KOŁCZ,
Dunja MLADENIC,
Wray BUNTINE,
John SHAWE-TAYLOR,
John SHAWE-TAYLOR,

Assistive Technology Information Seeking: Exploring Current Practices, Challenges, and the Need for Smarter Systems

Jamie Danemayer,
Cathy Holloway,
Youngjun Cho,
Aneesha Singh,
Aneesha Singh,

VD Senchez A., F&on, inc., 9845 via Pasar, San Diego, CA 921264557 USA Regional editors

G Dreyfus,
KJ Cios,
R Battfti,
France Parts,
France Parts,

VD Sdnchez A., Universify of Miami, Department of Mathemattcs and Computer Soence, PO Box 249085, Coral Gab/es

G Dreylus,
G Thimm,
F Murtagh,
WL Dunin-Batkowski,
WL Dunin-Batkowski,

FA Mussa-lvaldi, Chicago, IL, USA

R Battiti,
S Ben-David,
T Fukuda,
LC Jain,
LC Jain,

A Tutorial on Canonical Correlation Methods

JOAOM MONTEIRO,
JAZ KANDOLA,
JOHN SHAWE-TAYLOR,
JUHO ROUSU,
JUHO ROUSU,

Sparse PLS hyper-parameters optimisation for investigating brain-behaviour relationships

John Shawe-Taylor,
J Ashburner,
J Mourao-Miranda,

Ы бда з в ж а о и гв гйв зЃ

Robert C Яilliamsonо,
John Shawe-Taylor,
Aleм J Smolaо,

Worst-case bounds on the quality of max-product fixed-points

J Lafferty,
C Williams,
John Shawe-Taylor,
on IIIA CSIC (https://www. iiia. csic. es) Home> Worst-case bounds on the quality of max-product fixed-points Worst-case bounds on the quality of max-product fixed-points

HPCP-based music classification

Louis Dorard,
John Shawe-Taylor,

Supplementary Materials Localized Lasso for High-Dimensional Regression

Makoto Yamada,
Koh Takeuchi,
Tomoharu Iwata,
Samuel Kaski,
Samuel Kaski,

An investigation of the visual coding of faces using kernel canonical correlation analysis

N Furl,
D Hardoon,
J Mourão-Miranda,
John Shawe-Taylor,
John Shawe-Taylor,

Data-driven Selection of Relevant fMRI Voxels using Sparse CCA and Stability Selection

Kristian Nybo,
John Shawe-Taylor,
Samuel Kaski,

Kernel Methods in Bioengineering, Signal and Image Processing

Nello Cristianini,
John Shawe-Taylor,
Craig Saunders,

Compressed Conditional Mean Embeddings for Model-Based Reinforcement Learning-Supplementary Material

Guy Lever,
John Shawe-Taylor,
Ronnie Stafford,

Multiple Kernel Learning for Prediction on Unknown Graph Structures

Simon Cousins,
John Shawe-Taylor,
Mario Marchand,
Hongyu Su,
Hongyu Su,

Texture Classification Using Shift-Invariant Wavelet Packet Decomposition

Pun Chi-Man,
Lee Moon-Chuen,
Nikolaos Nikolaou,
Robert A Hedges,
Robert A Hedges,

Tissue Cancellation in Dual Energy Mammography Using a Calibration Phantom Customized for Direct Mapping……

S HanandD-G Kang,
L Hahn,
AF Marquand,
T Leitner,
T Leitner,

PAC-Bayesian Analysis: A Link Between Inference and Statistical Physics

Yevgeny Seldin,
François Laviolette,
John Shawe-Taylor,
Nicolo Cesa-Bianchi,
Nicolo Cesa-Bianchi,

Learning theory (Banff, 1-4 June 2004)

John Shawe-Taylor,
Yoram Singer,
Springer

On-line Trading of Exploration and Exploitation

Adam Kalai,
B Kappen,
JY Audibert,
C Szepesvári,
C Szepesvári,

Large scale multi-class classification based on linear optimisation

Sándor Szedmák,
John Shawe-Taylor,
Craig J Saunders,

A Unifying Framework for Invariant Pattern Recognition1

Je rey Wood,
John Shawe-Taylor,