Publications

Support Vector Machines

Nello Cristianini,

John Shawe-Taylor,

Cambridge: Cambridge University Press

23315

2000

The Pascal Visual Object Classes (VOC) Challenge

Mark Everingham,

Luc Van Gool,

Christopher KI Williams,

Kernel methods for pattern analysis

John Shawe-Taylor,

Nello Cristianini,

Cambridge university press

9083

2004

Estimating the support of a high-dimensional distribution

Canonical correlation analysis: An overview with application to learning methods

Large margin DAGs for multiclass classification

Support vector method for novelty detection

Text classification using string kernels

Challenges in representation learning: A report on three machine learning contests

Springer berlin heidelberg

1654

2013

On kernel-target alignment

A survey of ontology evaluation techniques

Support vector machines

John Shawe-Taylor,

Nello Cristianini,

Cambridge university press

817

2000

Structural risk minimization over data-dependent hierarchies

Feature selection for unbalanced class distribution and naive bayes

Support vector method for novelty detection

Linear programming boosting via column generation

Ayhan Demiriz,

Kristin P Bennett,

John Shawe-Taylor,

Kluwer Academic Publishers

572

2002

Generalization performance of support vector machines and other pattern classifiers

The 2005 pascal visual object classes challenge

Mark Everingham,

Andrew Zisserman,

Christopher KI Williams,

Moray Allan,

Springer Berlin Heidelberg

431

2006

Two view learning: SVM-2K, theory and practice

Empirical risk minimization under fairness constraints

Latent semantic kernels

Nello Cristianini,

John Shawe-Taylor,

Huma Lodhi,

Kluwer Academic Publishers

408

2002

Estimating average precision with incomplete and imperfect judgments

Kernel-based learning of hierarchical multilabel classification models

Overview of the TREC 2019 deep learning track

A simple and efficient sampling method for estimating AP and NDCG

An introduction to support vector machine

Inferring a semantic representation of text via cross-language correlation analysis

A new rank correlation coefficient for information retrieval

PAC-Bayes & margins

Sparse canonical correlation analysis

Learning nonrecursive definitions of relations with LINUS

Nada Lavrač,

Sašo Džeroski,

Marko Grobelnik,

Springer Berlin Heidelberg

288

1991

Stem cells in liver regeneration, fibrosis and cancer: the good, the bad and the ugly

MR Alison,

Shah Islam,

S Lim,

John Wiley & Sons, Ltd.

281

2009

Dynamically adapting kernels in support vector machines

Feature selection using linear classifier weights: interaction with classification models

Multi-view canonical correlation analysis

Attributes of adult stem cells

MR Alison,

Shah Islam,

John Wiley & Sons, Ltd.

259

2009

A PAC analysis of a Bayesian estimator

A review of optimization methodologies in support vector machines

Learning semantic similarity

Text classification using string kernels

Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing

Blackwell Publishing Ltd

231

2010

支持向量机导论

Composite kernels for hypertext categorisation

Relevance assessment: are judges exchangeable and does it matter

Word sequences as features in text-learning

Dunja Mladenic,

222

1998

Triplet extraction from sentences

On the eigenspectrum of the Gram matrix and the generalization error of kernel-PCA

John Shawe-Taylor,

Christopher KI Williams,

The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation

A statistical method for system evaluation using incomplete judgments

The perceptron algorithm with uneven margins

Kernel methods for pattern analysis

Nello Cristianini,

John Shawe-Taylor,

Cambridge University Press

201

2004

Visualization of text document corpus

Sparse network-based models for patient classification using fMRI

MahNMF: Manhattan non-negative matrix factorization

Locating the stem cell niche and tracing hepatocyte lineages in human liver

Wiley Subscription Services, Inc., A Wiley Company

184

2009

Feature selection on hierarchy of web documents

The set covering machine

Data sparsity issues in the collaborative filtering framework

Miha Grčar,

Dunja Mladenič,

Blaž Fortuna,

Springer Berlin Heidelberg

171

2006

Patient classification as an outlier detection problem: an application of the one-class support vector machine

Janaina Mourão-Miranda,

Gaussian process approximations of stochastic differential equations

Publications

Support Vector Machines

The Pascal Visual Object Classes (VOC) Challenge

Kernel methods for pattern analysis

Estimating the support of a high-dimensional distribution

Canonical correlation analysis: An overview with application to learning methods

Large margin DAGs for multiclass classification

Support vector method for novelty detection

Text classification using string kernels

Challenges in representation learning: A report on three machine learning contests

On kernel-target alignment

A survey of ontology evaluation techniques

Support vector machines

Structural risk minimization over data-dependent hierarchies

Feature selection for unbalanced class distribution and naive bayes

Support vector method for novelty detection

Linear programming boosting via column generation

Generalization performance of support vector machines and other pattern classifiers

The 2005 pascal visual object classes challenge

Two view learning: SVM-2K, theory and practice

Empirical risk minimization under fairness constraints

Latent semantic kernels

Estimating average precision with incomplete and imperfect judgments

Kernel-based learning of hierarchical multilabel classification models

Overview of the TREC 2019 deep learning track

A simple and efficient sampling method for estimating AP and NDCG

An introduction to support vector machine

Inferring a semantic representation of text via cross-language correlation analysis

A new rank correlation coefficient for information retrieval

PAC-Bayes & margins

Sparse canonical correlation analysis

Learning nonrecursive definitions of relations with LINUS

Stem cells in liver regeneration, fibrosis and cancer: the good, the bad and the ugly

Dynamically adapting kernels in support vector machines

Feature selection using linear classifier weights: interaction with classification models

Multi-view canonical correlation analysis

Attributes of adult stem cells

A PAC analysis of a Bayesian estimator

A review of optimization methodologies in support vector machines

Learning semantic similarity

Text classification using string kernels

Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing

支持向量机导论

Composite kernels for hypertext categorisation

Relevance assessment: are judges exchangeable and does it matter

Word sequences as features in text-learning

Triplet extraction from sentences

On the eigenspectrum of the Gram matrix and the generalization error of kernel-PCA

The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation

A statistical method for system evaluation using incomplete judgments

The perceptron algorithm with uneven margins

Kernel methods for pattern analysis

Visualization of text document corpus

Sparse network-based models for patient classification using fMRI

MahNMF: Manhattan non-negative matrix factorization

Locating the stem cell niche and tracing hepatocyte lineages in human liver

Feature selection on hierarchy of web documents

The set covering machine

Data sparsity issues in the collaborative filtering framework

Patient classification as an outlier detection problem: an application of the one-class support vector machine

Gaussian process approximations of stochastic differential equations

OptimalAI