Publications

String kernels, Fisher kernels and finite state automata

Craig Saunders,

Alexei Vinokourov,

John Shawe-taylor,

2002

Margin distribution and soft margin

Symmetries and discriminability in feedforward network architectures

John Shawe-Taylor,

IEEE

1993

Generalization bounds via eigenvalues of the gram matrix

Bernhard Schölkopf,

John Shawe-Taylor,

Alexander J Smola,

University of London: Royal Holloway College: NeuroCOLT 2

1999

Estimating average precision when judgments are incomplete

Distribution-dependent PAC-Bayes priors

Guy Lever,

François Laviolette,

John Shawe-Taylor,

Springer Berlin Heidelberg

2010

Reply-aided detection of misinformation via bayesian deep learning

PAC-Bayesian analysis of contextual bandits

On the eigenspectrum of the Gram matrix and its relationship to the operator eigenspectrum

John Shawe-Taylor,

Chris Williams,

Nello Cristianini,

Springer Berlin Heidelberg

2002

Margin distribution bounds on generalization

John Shawe-Taylor,

Nello Cristianini,

Springer Berlin Heidelberg

1999

Robust bounds on generalization from the margin distribution

John Shawe-Taylor,

Nello Cristianini,

1998

The spectral radius of infinite graphs

Norman L Biggs,

Bojan Mohar,

John Shawe-Taylor,

Oxford University Press

1988

Crowdsourcing interactions: using crowdsourcing for evaluating interactive information retrieval systems

Guido Zuccon,

Teerapong Leelanupab,

Estimating the moments of a random vector with applications

John Shawe-Taylor,

Nello Cristianini,

2003

Semi-supervised learning to rank with preference regularization

Martin Szummer,

Emine Yilmaz,

2011

Kernel methods for pattern recognition

John Shawe-Taylor,

Nello Cristianini,

Cambridge University Press, Cambridge

2004

Probabilistic bit stream neural chip: Theory

John Shawe-Taylor,

Pete Jeavons,

MAX VAN DAALEN,

Taylor & Francis Group

1991

Simple classification into large topic ontology of web documents

Marko Grobelnik,

Dunja Mladenić,

Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu

2005

Explainable user clustering in short text streams

A multiple hold-out framework for sparse partial least squares

Joao M Monteiro,

Anil Rao,

John Shawe-Taylor,

Alzheimer's Disease Initiative,

Elsevier

2016

Characterizing graph drawing with eigenvectors

Tomaž Pisanski,

John Shawe-Taylor,

American Chemical Society

2000

Overcoming information overload in the enterprise: the active approach

Visualization of News Articles.

Marko Grobelnik,

Dunja Mladenic,

2004

Novel techniques for fraud detection in mobile telecommunication networks

Manifold-preserving graph reduction for sparse semi-supervised learning

Generalization Performance of Support Vector Machines and Other Pattern Classifiers.’Advances in Kernel Methods-Support Vector Learning’, Bernhard Sch olkopf, Christopher JC …

Peter Bartlett,

John Shawe-Taylor,

MIT Press, Cambridge, USA

1998

The learnability of formal concepts

Slot self-attentive dialogue state tracking

On the extensions of kernel alignment

Representation theory and invariant neural networks

Efficient text categorization

Marko Grobelnik,

Dunja Mladenić,

1998

Truelearn: A family of bayesian algorithms to match lifelong learners to open educational resources

Localized lasso for high-dimensional regression

Truelearn: A family of bayesian algorithms to match lifelong learners to open educational resources

Information retrieval by inferring implicit queries from eye movements

Learning via linear operators: Maximum margin regression

Sandor Szedmak,

John Shawe-Taylor,

Emilio Parado-Hernandez,

2005

On optimizing kernel alignment

Knowledge discovery for ontology construction

Marko Grobelnik,

Dunja Mladenic,

2006

Extracting summary sentences based on the document semantic graph

Jure Leskovec,

Natasa Milic-Frayling,

Marko Grobelnik,

2005

PAC-Bayes bounds for stable algorithms with instance-dependent priors

Omar Rivasplata,

Emilio Parrado-Hernández,

John S Shawe-Taylor,

Csaba Szepesvári,

2018

Linear programming boosting for uneven datasets

Jure Leskovec,

John Shawe-Taylor,

2003

Extracting named entities and relating them over time based on Wikipedia

Data mining, data fusion and information management

Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space.

Syllables and other string kernel extensions

Automatic evaluation of ontologies

Text mining as integration of several related research areas: report on KDD’s workshop on text mining 2000

Marko Grobelnik,

Dunja Mladenic,

Natasa Milic-Frayling,

ACM

2000

Specificity, privacy, and degeneracy in the CD4 T cell receptor repertoire following immunization

Yuxin Sun,

Katharine Best,

Mattia Cinelli,

Shlomit Reich-Zeliger,

Frontiers Media SA

2017

On the concentration of spectral properties

Question answering based on semantic graphs

Ms marco: Benchmarking ranking models in the large-data regime

Multiwoz 2.4: A multi-domain task-oriented dialogue dataset with essential annotation corrections to improve state tracking evaluation

Okul öncesi eğitim kurumlarına devam eden 6 yaş çocuklarının sayı ve işlem kavramlarını kazanmalarında müzikli oyun etkinliklerinin kullanılmasının etkisi

E Yılmaz,

2006

The stability of kernel principal components analysis and its relation to the process eigenspectrum

Christopher Williams,

John Shawe-taylor,

2002

Detection of fraud in mobile telecommunications

Sample sizes for multiple-output threshold networks

Distance-biregular graphs with 2-valent vertices and distance-regular line graphs

Inferring document relevance from incomplete information

Javed A Aslam,

Emine Yilmaz,

2007

Multiple kernel learning on the limit order book

Building symmetries into feedforward networks

John Shawe-Taylor,

IET

1989

Publications

String kernels, Fisher kernels and finite state automata

Margin distribution and soft margin

Symmetries and discriminability in feedforward network architectures

Generalization bounds via eigenvalues of the gram matrix

Estimating average precision when judgments are incomplete

Distribution-dependent PAC-Bayes priors

Reply-aided detection of misinformation via bayesian deep learning

PAC-Bayesian analysis of contextual bandits

On the eigenspectrum of the Gram matrix and its relationship to the operator eigenspectrum

Margin distribution bounds on generalization

Robust bounds on generalization from the margin distribution

The spectral radius of infinite graphs

Crowdsourcing interactions: using crowdsourcing for evaluating interactive information retrieval systems

Estimating the moments of a random vector with applications

Semi-supervised learning to rank with preference regularization

Kernel methods for pattern recognition

Probabilistic bit stream neural chip: Theory

Simple classification into large topic ontology of web documents

Explainable user clustering in short text streams

A multiple hold-out framework for sparse partial least squares

Characterizing graph drawing with eigenvectors

Overcoming information overload in the enterprise: the active approach

Visualization of News Articles.

Novel techniques for fraud detection in mobile telecommunication networks

Manifold-preserving graph reduction for sparse semi-supervised learning

Generalization Performance of Support Vector Machines and Other Pattern Classifiers.’Advances in Kernel Methods-Support Vector Learning’, Bernhard Sch olkopf, Christopher JC …

The learnability of formal concepts

Slot self-attentive dialogue state tracking

On the extensions of kernel alignment

Representation theory and invariant neural networks

Efficient text categorization

Truelearn: A family of bayesian algorithms to match lifelong learners to open educational resources

Localized lasso for high-dimensional regression

Truelearn: A family of bayesian algorithms to match lifelong learners to open educational resources

Information retrieval by inferring implicit queries from eye movements

Learning via linear operators: Maximum margin regression

On optimizing kernel alignment

Knowledge discovery for ontology construction

Extracting summary sentences based on the document semantic graph

PAC-Bayes bounds for stable algorithms with instance-dependent priors

Linear programming boosting for uneven datasets

Extracting named entities and relating them over time based on Wikipedia

Data mining, data fusion and information management

Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space.

Syllables and other string kernel extensions

Automatic evaluation of ontologies

Text mining as integration of several related research areas: report on KDD’s workshop on text mining 2000

Specificity, privacy, and degeneracy in the CD4 T cell receptor repertoire following immunization

On the concentration of spectral properties

Question answering based on semantic graphs

Ms marco: Benchmarking ranking models in the large-data regime

Multiwoz 2.4: A multi-domain task-oriented dialogue dataset with essential annotation corrections to improve state tracking evaluation

Okul öncesi eğitim kurumlarına devam eden 6 yaş çocuklarının sayı ve işlem kavramlarını kazanmalarında müzikli oyun etkinliklerinin kullanılmasının etkisi

The stability of kernel principal components analysis and its relation to the process eigenspectrum

Detection of fraud in mobile telecommunications

Sample sizes for multiple-output threshold networks

Distance-biregular graphs with 2-valent vertices and distance-regular line graphs

Inferring document relevance from incomplete information

Multiple kernel learning on the limit order book

Building symmetries into feedforward networks

OptimalAI