Search results for "John Shawe-Taylor"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Martin Sewell, John Shawe-Taylor	Forecasting foreign exchange rates using kernel methods.	Expert Syst. Appl.	2012	DBLP DOI BibTeX RDF
1	Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette, John Shawe-Taylor	PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Guy Lever, Tom Diethe, John Shawe-Taylor	Data dependent kernels in nearly-linear time.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Dorota Glowacka, Louis Dorard, John Shawe-Taylor	Preface.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Zakria Hussain, John Shawe-Taylor	Improved Loss Bounds For Multiple Kernel Learning.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Dorota Glowacka, John Shawe-Taylor, Alex Clark, Colin de la Higuera, Mark Johnson	Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Tom Diethe, José L. Balcázar, John Shawe-Taylor, Cristina Tîrnauca	Preface.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Benjamin X. Hall, John Shawe-Taylor, Alan Johnston	Employing The Complete Face in AVSR to Recover from Facial Occlusions.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	David R. Hardoon, John Shawe-Taylor	Sparse canonical correlation analysis.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Nicholas Furl, Sukhbinder Kumar, Kai Alter, Simon Durrant, John Shawe-Taylor, Timothy D. Griffiths	Neural prediction of higher-order auditory sequence statistics.	NeuroImage	2011	DBLP DOI BibTeX RDF
1	Janaina Mourão Miranda, David R. Hardoon, Tim Hahn, Andre F. Marquand, Steven C. R. Williams, John Shawe-Taylor, Michael J. Brammer	Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine.	NeuroImage	2011	DBLP DOI BibTeX RDF
1	Guy Lever, Tom Diethe, John Shawe-Taylor	Data-dependent kernels in nearly-linear time	CoRR	2011	DBLP BibTeX RDF
1	Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette, John Shawe-Taylor	PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits	CoRR	2011	DBLP BibTeX RDF
1	Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer	PAC-Bayesian Inequalities for Martingales	CoRR	2011	DBLP BibTeX RDF
1	Yevgeny Seldin, François Laviolette, John Shawe-Taylor, Jan Peters, Peter Auer	PAC-Bayesian Analysis of Martingales and Multiarmed Bandits	CoRR	2011	DBLP BibTeX RDF
1	Yevgeny Seldin, Nicolò Cesa-Bianchi, François Laviolette, Peter Auer, John Shawe-Taylor, Jan Peters	PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off	CoRR	2011	DBLP BibTeX RDF
1	Zakria Hussain, John Shawe-Taylor	A Note on Improved Loss Bounds for Multiple Kernel Learning	CoRR	2011	DBLP BibTeX RDF
1	John Shawe-Taylor, Shiliang Sun	A review of optimization methodologies in support vector machines.	Neurocomputing	2011	DBLP DOI BibTeX RDF
1	Zakria Hussain, John Shawe-Taylor, David R. Hardoon, Charanpal Dhanjal	Design and Generalization Analysis of Orthogonal Matching Pursuit Algorithms.	IEEE Transactions on Information Theory	2011	DBLP DOI BibTeX RDF
1	Yevgeny Seldin, Peter Auer, François Laviolette, John Shawe-Taylor, Ronald Ortner	PAC-Bayesian Analysis of Contextual Bandits.	NIPS	2011	DBLP BibTeX RDF
1	John Shawe-Taylor, Richard S. Zemel, Peter L. Bartlett, Fernando C. N. Pereira, Kilian Q. Weinberger (eds.)	Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain.	NIPS	2011	DBLP BibTeX RDF
1	Steffen Grünewälder, Jean-Yves Audibert, Manfred Opper, John Shawe-Taylor	Regret Bounds for Gaussian Process Bandit Problems.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Po Leung, Kitsuchart Pasupa, John Shawe-Taylor	Pinview: Implicit Feedback in Content-Based Image Retrieval.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Tristan Fletcher, Zakria Hussain, John Shawe-Taylor	Multiple Kernel Learning on the Limit Order Book.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Shiliang Sun, John Shawe-Taylor	Sparse Semi-supervised Learning Using Conjugate Functions.	Journal of Machine Learning Research	2010	DBLP BibTeX RDF
1	Dorota Glowacka, John Shawe-Taylor	Content-based Image Retrieval with Multinomial Relevance Feedback.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Tom Diethe, Nello Cristianini, John Shawe-Taylor	Preface.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	David R. Hardoon, John Shawe-Taylor	Decomposing the tensor kernel support vector machine for neuroscience data with structured labels.	Machine Learning	2010	DBLP BibTeX RDF
1	Zhuoran Wang, John Shawe-Taylor	A kernel regression framework for SMT.	Machine Translation	2010	DBLP DOI BibTeX RDF
1	Louis Dorard, John Shawe-Taylor	Gaussian Process Bandits for Tree Search	CoRR	2010	DBLP BibTeX RDF
1	Yuan Shen, Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor, Remi Barillec	A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems.	Signal Processing Systems	2010	DBLP DOI BibTeX RDF
1	Nello Cristianini, John Shawe-Taylor	An Introduction to Support Vector Machines and Other Kernel-based Learning Methods.		2010	RDF
1	Süreyya Özögür-Akyüz, Zakria Hussain, John Shawe-Taylor	Prediction with the SVM Using Test Point Margins.	Data Mining	2010	DBLP DOI BibTeX RDF
1	Tom Diethe, David R. Hardoon, John Shawe-Taylor	Constructing Nonlinear Discriminants from Multiple Data Views.	ECML/PKDD	2010	DBLP DOI BibTeX RDF
1	Zakria Hussain, Alex Po Leung, Kitsuchart Pasupa, David R. Hardoon, Peter Auer, John Shawe-Taylor	Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval.	ECML/PKDD	2010	DBLP DOI BibTeX RDF
1	Zakria Hussain, Kitsuchart Pasupa, John Shawe-Taylor	Learning relevant eye movement feature spaces across users.	ETRA	2010	DBLP DOI BibTeX RDF	Nyström method, Tobii eye tracker, eye movement features, feature selection, online learning
1	John Shawe-Taylor	Multivariate Bandits and Their Applications.	Intelligent Information Processing	2010	DBLP DOI BibTeX RDF
1	Zhuoran Wang, John Shawe-Taylor, Anoop Shah	Semi-supervised feature learning from clinical text.	BIBM	2010	DBLP DOI BibTeX RDF
1	Matthew Higgs, John Shawe-Taylor	A PAC-Bayes Bound for Tailored Density Estimation.	ALT	2010	DBLP DOI BibTeX RDF
1	Guy Lever, François Laviolette, John Shawe-Taylor	Distribution-Dependent PAC-Bayes Priors.	ALT	2010	DBLP DOI BibTeX RDF
1	Alexandros Papangelis, Vangelis Metsis, John Shawe-Taylor, Fillia Makedon	Sensor placement and coordination via distributed multi-agent cooperative control.	PETRA	2010	DBLP DOI BibTeX RDF	max-sum algorithm, sensor placement and coordination, multi-agent systems, mobile sensors
1	John D. Lafferty, Christopher K. I. Williams, John Shawe-Taylor, Richard S. Zemel, Aron Culotta (eds.)	Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada.	NIPS	2010	DBLP BibTeX RDF
1	Antti Ajanki, David R. Hardoon, Samuel Kaski, Kai Puolamäki, John Shawe-Taylor	Can eyes reveal interest? Implicit queries from gaze patterns.	User Model. User-Adapt. Interact.	2009	DBLP DOI BibTeX RDF	Machine learning, Information retrieval, Support vector machines, Eye movements, Implicit relevance feedback
1	Charanpal Dhanjal, Steve R. Gunn, John Shawe-Taylor	Efficient Sparse Kernel Feature Extraction Based on Partial Least Squares.	IEEE Trans. Pattern Anal. Mach. Intell.	2009	DBLP DOI BibTeX RDF
1	Simon Durrant, David R. Hardoon, André Brechmann, John Shawe-Taylor, Eduardo R. Miranda, Henning Scheich	GLM and SVM analyses of neural response to tonal and atonal stimuli: new techniques and a comparison.	Connect. Sci.	2009	DBLP DOI BibTeX RDF
1	Simon Durrant, David R. Hardoon, André Brechmann, John Shawe-Taylor, Eduardo R. Miranda, Henning Scheich	GLM and SVM analyses of neural response to tonal and atonal stimuli: new techniques and a comparison.	Connect. Sci.	2009	DBLP DOI BibTeX RDF
1	Zhuoran Wang, John Shawe-Taylor	Large-Margin Structured Prediction via Linear Programming.	Journal of Machine Learning Research - Proceedings Track	2009	DBLP BibTeX RDF
1	John Shawe-Taylor, David R. Hardoon	PAC-Bayes Analysis Of Maximum Entropy Classification.	Journal of Machine Learning Research - Proceedings Track	2009	DBLP BibTeX RDF
1	Tom Diethe, Zakria Hussain, David R. Hardoon, John Shawe-Taylor	Matching Pursuit Kernel Fisher Discriminant Analysis.	Journal of Machine Learning Research - Proceedings Track	2009	DBLP BibTeX RDF
1	David R. Hardoon, John Shawe-Taylor	Convergence analysis of kernel Canonical Correlation Analysis: theory and practice.	Machine Learning	2009	DBLP DOI BibTeX RDF
1	Aleksander Kolcz, Dunja Mladenic, Wray L. Buntine, Marko Grobelnik, John Shawe-Taylor	Guest editors' introduction: Special Issue from ECML PKDD 2009.	Machine Learning	2009	DBLP DOI BibTeX RDF
1	John Shawe-Taylor	Technical perspective - Machine learning for complex predictions.	Commun. ACM	2009	DBLP DOI BibTeX RDF
1	Aleksander Kolcz, Dunja Mladenic, Wray L. Buntine, Marko Grobelnik, John Shawe-Taylor	Guest editors' introduction: special issue of selected papers from ECML PKDD 2009.	Data Min. Knowl. Discov.	2009	DBLP DOI BibTeX RDF
1	Süreyya Özögür-Akyüz, John Shawe-Taylor, G.-W. Weber, Z. B. Ögel	Pattern analysis for the prediction of fungal pro-peptide cleavage sites.	Discrete Applied Mathematics	2009	DBLP DOI BibTeX RDF
1	Wray L. Buntine, Marko Grobelnik, Dunja Mladenic, John Shawe-Taylor (eds.)	Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I	ECML/PKDD	2009	DBLP DOI BibTeX RDF
1	Wray L. Buntine, Marko Grobelnik, Dunja Mladenic, John Shawe-Taylor (eds.)	Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II	ECML/PKDD	2009	DBLP DOI BibTeX RDF
1	Dorota Glowacka, Louis Dorard, Alan Medlar, John Shawe-Taylor	Prior Knowledge in Learning Finite Parameter Spaces.	FG	2009	DBLP DOI BibTeX RDF
1	Marco Gillies, Xueni Pan, Mel Slater, John Shawe-Taylor	Responsive listening behavior.	Journal of Visualization and Computer Animation	2008	DBLP DOI BibTeX RDF
1	Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer	Using string kernels to identify famous performers from their playing style.	Intell. Data Anal.	2008	DBLP BibTeX RDF
1	Zakria Hussain, John Shawe-Taylor	Theory of matching pursuit.	NIPS	2008	DBLP BibTeX RDF
1	Alexander N. Dolia, Christopher J. Harris, John Shawe-Taylor, D. Mike Titterington	Kernel ellipsoidal trimming.	Computational Statistics & Data Analysis	2007	DBLP DOI BibTeX RDF
1	Amiran Ambroladze, Emilio Parrado-Hernández, John Shawe-Taylor	Complexity of pattern classes and the Lipschitz property.	Theor. Comput. Sci.	2007	DBLP DOI BibTeX RDF
1	Yaoyong Li, John Shawe-Taylor	Advanced learning algorithms for cross-language patent retrieval and classification.	Inf. Process. Manage.	2007	DBLP DOI BibTeX RDF
1	Kristiaan Pelckmans, John Shawe-Taylor, Johan A. K. Suykens, Bart De Moor	Margin based Transductive Graph Cuts using Linear Programming.	Journal of Machine Learning Research - Proceedings Track	2007	DBLP BibTeX RDF
1	David R. Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki, Samuel Kaski	Information Retrieval by Inferring Implicit Queries from Eye Movements.	Journal of Machine Learning Research - Proceedings Track	2007	DBLP BibTeX RDF
1	Zakria Hussain, François Laviolette, Mario Marchand, John Shawe-Taylor, S. Charles Brubaker, Matthew D. Mullin	Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data.	Journal of Machine Learning Research	2007	DBLP BibTeX RDF
1	Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor	Gaussian Process Approximations of Stochastic Differential Equations.	Journal of Machine Learning Research - Proceedings Track	2007	DBLP BibTeX RDF
1	John Shawe-Taylor, Alexander N. Dolia	A Framework for Probability Density Estimation.	Journal of Machine Learning Research - Proceedings Track	2007	DBLP BibTeX RDF
1	Sándor Szedmák, John Shawe-Taylor	Synthesis of maximum margin and multiview learning using unlabeled data.	Neurocomputing	2007	DBLP DOI BibTeX RDF
1	Zhuoran Wang, John Shawe-Taylor, Sándor Szedmák	Kernel Regression Based Machine Translation.	HLT-NAACL (Short Papers)	2007	DBLP BibTeX RDF
1	Zakria Hussain, John Shawe-Taylor	Using Generalization Error Bounds to Train the Set Covering Machine.	ICONIP	2007	DBLP DOI BibTeX RDF
1	David R. Hardoon, Janaina Mourão Miranda, Michael J. Brammer, John Shawe-Taylor	Using Image Stimuli to Drive fMRI Analysis.	ICONIP	2007	DBLP DOI BibTeX RDF	Machine learning methods, Functional magnetic resonance imaging data analysis, Support vector machines, Classifiers, Kernel canonical correlation analysis
1	Petroula Tsampouka, John Shawe-Taylor	Approximate maximum margin algorithms with rules controlled by the number of mistakes.	ICML	2007	DBLP DOI BibTeX RDF
1	Michael R. Berthold, John Shawe-Taylor, Nada Lavrac (eds.)	Advances in Intelligent Data Analysis VII, 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings	IDA	2007	DBLP BibTeX RDF
1	Cédric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford, John Shawe-Taylor	Variational Inference for Diffusion Processes.	NIPS	2007	DBLP BibTeX RDF
1	Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor	Kernel-Based Learning of Hierarchical Multilabel Classification Models.	Journal of Machine Learning Research	2006	DBLP BibTeX RDF
1	Yaoyong Li, John Shawe-Taylor	Using KCCA for Japanese-English cross-language information retrieval and document classification.	J. Intell. Inf. Syst.	2006	DBLP DOI BibTeX RDF	Cross-language Japanese-English document retrieval and classification, Machine learning, Unsupervised learning, Cross-language information retrieval, Kernel canonical correlation analysis
1	Craig Saunders, Marko Grobelnik, Steve R. Gunn, John Shawe-Taylor (eds.)	Subspace, Latent Structure and Feature Selection, Statistical and Optimization, Perspectives Workshop, SLSFS 2005, Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers	SLSFS	2006	DBLP BibTeX RDF
1	Alexander N. Dolia, Tijl De Bie, Christopher J. Harris, John Shawe-Taylor, D. M. Titterington	The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces.	ECML	2006	DBLP DOI BibTeX RDF
1	Petroula Tsampouka, John Shawe-Taylor	Constant Rate Approximate Maximum Margin Algorithms.	ECML	2006	DBLP DOI BibTeX RDF
1	Sándor Szedmák, John Shawe-Taylor	Synthesis of maximum margin and multiview learning using unlabeled data.	ESANN	2006	DBLP BibTeX RDF
1	Alain Lehmann, John Shawe-Taylor	A probabilistic model for text kernels.	ICML	2006	DBLP DOI BibTeX RDF
1	David R. Hardoon, Craig Saunders, Sándor Szedmák, John Shawe-Taylor	A Correlation Approach for Automatic Image Annotation.	ADMA	2006	DBLP DOI BibTeX RDF
1	Amiran Ambroladze, Emilio Parrado-Hernández, John Shawe-Taylor	Tighter PAC-Bayes Bounds.	NIPS	2006	DBLP BibTeX RDF
1	Juho Rousu, John Shawe-Taylor	Efficient Computation of Gapped Substring Kernels on Large Alphabets.	Journal of Machine Learning Research	2005	DBLP BibTeX RDF
1	Thore Graepel, Ralf Herbrich, John Shawe-Taylor	PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification.	Machine Learning	2005	DBLP DOI BibTeX RDF	sample compression, PAC-Bayes, kernel classifiers, classification, error bounds
1	Shutao Li, John Shawe-Taylor	Comparison and fusion of multiresolution features for texture classification.	Pattern Recognition Letters	2005	DBLP DOI BibTeX RDF
1	John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola	On the eigenspectrum of the gram matrix and the generalization error of kernel-PCA.	IEEE Transactions on Information Theory	2005	DBLP DOI BibTeX RDF
1	Anders Meng, John Shawe-Taylor	An Investigation of Feature Models for Music Genre Classification Using the Support Vector Classifier.	ISMIR	2005	DBLP BibTeX RDF
1	Petroula Tsampouka, John Shawe-Taylor	Analysis of Generic Perceptron-Like Large Margin Classifiers.	ECML	2005	DBLP DOI BibTeX RDF
1	Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor	Learning hierarchical multi-category text classification models.	ICML	2005	DBLP DOI BibTeX RDF
1	Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc J. Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang	The 2005 PASCAL Visual Object Classes Challenge.	MLCW	2005	DBLP DOI BibTeX RDF
1	Matthew Henderson, John Shawe-Taylor, Janez Zerovnik	Mixture of Vector Experts.	ALT	2005	DBLP DOI BibTeX RDF
1	Jason D. R. Farquhar, David R. Hardoon, Hongying Meng, John Shawe-Taylor, Sándor Szedmák	Two view learning: SVM-2K, Theory and Practice.	NIPS	2005	DBLP BibTeX RDF
1	David R. Hardoon, Sándor Szedmák, John Shawe-Taylor	Canonical Correlation Analysis: An Overview with Application to Learning Methods.	Neural Computation	2004	DBLP DOI BibTeX RDF
1	John Shawe-Taylor, Nello Cristianini	Kernel Methods for Pattern Analysis.		2004	RDF
1	Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer	Using String Kernels to Identify Famous Performers from Their Playing Style.	ECML	2004	DBLP DOI BibTeX RDF
1	Shutao Li, John Shawe-Taylor	Texture Classification by Combining Wavelet and Contourlet Features.	SSPR/SPR	2004	DBLP DOI BibTeX RDF
1	Hongying Meng, John Shawe-Taylor, Sándor Szedmák, Jason D. R. Farquhar	Support Vector Machine to Synthesise Kernels.	Deterministic and Statistical Methods in Machine Learning	2004	DBLP DOI BibTeX RDF
1	Amiran Ambroladze, John Shawe-Taylor	Complexity of Pattern Classes and Lipschitz Property.	ALT	2004	DBLP DOI BibTeX RDF

Publications of "John Shawe-Taylor" ( http://dblp.L3S.de/Authors/John_Shawe-Taylor )