Cristianini, Nello

35 publications

UAI 2013 Finite-Time Analysis of Kernelised Contextual Bandits Michal Valko, Nathaniel Korda, Rémi Munos, Ilias N. Flaounas, Nello Cristianini

ECML-PKDD 2012 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I Peter A. Flach, Tijl De Bie, Nello Cristianini

ECML-PKDD 2012 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II Peter A. Flach, Tijl De Bie, Nello Cristianini

ECML-PKDD 2011 Celebrity Watch: Browsing News Content by Exploiting Social Intelligence Omar Ali, Ilias N. Flaounas, Tijl De Bie, Nello Cristianini

ECML-PKDD 2010 Detecting Events in a Million New York Times Articles Tristan Snowsill, Ilias N. Flaounas, Tijl De Bie, Nello Cristianini

ECML-PKDD 2010 Flu Detector - Tracking Epidemics on Twitter Vasileios Lampos, Tijl De Bie, Nello Cristianini

ECML-PKDD 2009 Are We There yet? Nello Cristianini

ECML-PKDD 2009 Found in Translation Marco Turchi, Ilias N. Flaounas, Omar Ali, Tijl De Bie, Tristan Snowsill, Nello Cristianini

ECML-PKDD 2009 Inference and Validation of Networks Ilias N. Flaounas, Marco Turchi, Tijl De Bie, Nello Cristianini

JMLR 2008 Magic Moments for Structured Output Prediction Elisa Ricci, Tijl De Bie, Nello Cristianini

JMLR 2006 Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems Tijl De Bie, Nello Cristianini

JMLR 2004 Learning the Kernel Matrix with Semidefinite Programming Gert R.G. Lanckriet, Nello Cristianini, Peter Bartlett, Laurent El Ghaoui, Michael I. Jordan

NeurIPS 2003 Convex Methods for Transduction Tijl D. Bie, Nello Cristianini

ALT 2003 Efficiently Learning the Metric with Side-Information Tijl De Bie, Michinari Momma, Nello Cristianini

MLJ 2002 Editorial: Kernel Methods: Current Research and Future Directions Nello Cristianini, Colin Campbell, Chris Burges

NeurIPS 2002 Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis Alexei Vinokourov, Nello Cristianini, John Shawe-Taylor

NeurIPS 2002 Learning Semantic Similarity Jaz Kandola, Nello Cristianini, John S. Shawe-taylor

ICML 2002 Learning the Kernel Matrix with Semi-Definite Programming Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan

ALT 2002 On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola

JMLR 2002 Text Classification Using String Kernels Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Chris Watkins

ICML 2001 Composite Kernels for Hypertext Categorisation Thorsten Joachims, Nello Cristianini, John Shawe-Taylor

ICML 2001 Latent Semantic Kernels Nello Cristianini, John Shawe-Taylor, Huma Lodhi

NeurIPS 2001 On Kernel-Target Alignment Nello Cristianini, John Shawe-Taylor, André Elisseeff, Jaz S. Kandola

NeurIPS 2001 On the Concentration of Spectral Properties John Shawe-Taylor, Nello Cristianini, Jaz S. Kandola

NeurIPS 2001 Spectral Kernel Methods for Clustering Nello Cristianini, John Shawe-Taylor, Jaz S. Kandola

MLJ 2000 Enlarging the Margins in Perceptron Decision Trees Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor, Donghui Wu

ICML 2000 Query Learning with Large Margin Classifiers Colin Campbell, Nello Cristianini, Alexander J. Smola

NeurIPS 2000 Text Classification Using String Kernels Huma Lodhi, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins

COLT 1999 Further Results on the Margin Distribution John Shawe-Taylor, Nello Cristianini

NeurIPS 1999 Large Margin DAGs for Multiclass Classification John C. Platt, Nello Cristianini, John Shawe-Taylor

ICML 1999 Large Margin Trees for Induction and Transduction Donghui Wu, Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor

ICML 1998 Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space Nello Cristianini, John Shawe-Taylor, Peter Sykacek

NeurIPS 1998 Dynamically Adapting Kernels in Support Vector Machines Nello Cristianini, Colin Campbell, John Shawe-Taylor

ICML 1998 The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines Thilo-Thomas Frieß, Nello Cristianini, Colin Campbell

NeurIPS 1997 Data-Dependent Structural Risk Minimization for Perceptron Decision Trees John Shawe-Taylor, Nello Cristianini