Search results for "Neil D. Lawrence"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Ramin Zabih, Sing Bing Kang, Neil D. Lawrence, Jiri Matas, Max Welling	Editor's Note.	IEEE Trans. Pattern Anal. Mach. Intell.	2012	DBLP DOI BibTeX RDF
1	Ramin Zabih, Sing Bing Kang, Neil D. Lawrence, Jiri Matas, Max Welling	Editor's Note.	IEEE Trans. Pattern Anal. Mach. Intell.	2012	DBLP DOI BibTeX RDF
1	Neil D. Lawrence, Mark A. Girolami	Preface.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Nicoló Fusi, Oliver Stegle, Neil D. Lawrence	Joint Modelling of Confounding Factors and Prominent Genetic Regulators Provides Increased Accuracy in Genetical Genomics Studies.	PLoS Computational Biology	2012	DBLP DOI BibTeX RDF
1	Miguel Lázaro-Gredilla, Steven Van Vaerenbergh, Neil D. Lawrence	Overlapping Mixtures of Gaussian Processes for the data association problem.	Pattern Recognition	2012	DBLP DOI BibTeX RDF
1	Alfredo A. Kalaitzis, Neil D. Lawrence	A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression.	BMC Bioinformatics	2011	DBLP DOI BibTeX RDF
1	Antti Honkela, Pei Gao, Jonatan Ropponen, Magnus Rattray, Neil D. Lawrence	tigre: Transcription factor inference through gaussian process reconstruction of expression for bioconductor.	Bioinformatics	2011	DBLP DOI BibTeX RDF
1	Mauricio A. Álvarez, Neil D. Lawrence	Computationally Efficient Convolved Multiple Output Gaussian Processes.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Neil D. Lawrence	Spectral Dimensionality Reduction via Maximum Entropy.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Miguel Lázaro-Gredilla, Steven Van Vaerenbergh, Neil D. Lawrence	Overlapping Mixtures of Gaussian Processes for the Data Association Problem	CoRR	2011	DBLP BibTeX RDF
1	Andreas C. Damianou, Michalis K. Titsias, Neil D. Lawrence	Variational Gaussian Process Dynamical Systems	CoRR	2011	DBLP BibTeX RDF
1	Mauricio A. Álvarez, David Luengo, Neil D. Lawrence	Linear Latent Force Models using Gaussian Processes	CoRR	2011	DBLP BibTeX RDF
1	Mauricio A. Álvarez, Lorenzo Rosasco, Neil D. Lawrence	Kernels for Vector-Valued Functions: a Review	CoRR	2011	DBLP BibTeX RDF
1	Alfredo A. Kalaitzis, Neil D. Lawrence	Residual Component Analysis	CoRR	2011	DBLP BibTeX RDF
1	Andreas C. Damianou, Michalis K. Titsias, Neil D. Lawrence	Variational Gaussian Process Dynamical Systems.	NIPS	2011	DBLP BibTeX RDF
1	Oliver Stegle, Christoph Lippert, Joris M. Mooij, Neil D. Lawrence, Karsten M. Borgwardt	Efficient inference in matrix-variate Gaussian models with \iid observation noise.	NIPS	2011	DBLP BibTeX RDF
1	Hafiz Muhammad Shahzad Asif, Matthew D. Rolfe, Jeff Green, Neil D. Lawrence, Magnus Rattray, Guido Sanguinetti	TFInfer: a tool for probabilistic inference of transcription factor activities.	Bioinformatics	2010	DBLP DOI BibTeX RDF
1	Michalis K. Titsias, Neil D. Lawrence	Bayesian Gaussian Process Latent Variable Model.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Mauricio A. Álvarez, David Luengo, Michalis K. Titsias, Neil D. Lawrence	Efficient Multioutput Gaussian Processes through Variational Inducing Kernels.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Neil D. Lawrence	A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction	CoRR	2010	DBLP BibTeX RDF
1	Mauricio A. Álvarez, Jan Peters, Bernhard Schölkopf, Neil D. Lawrence	Switched Latent Force Models for Movement Segmentation.	NIPS	2010	DBLP BibTeX RDF
1	Richard D. Pearson, Xuejun Liu, Guido Sanguinetti, Marta Milo, Neil D. Lawrence, Magnus Rattray	puma: a Bioconductor package for propagating uncertainty in microarray analysis.	BMC Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Mauricio A. Álvarez, David Luengo, Neil D. Lawrence	Latent Force Models.	Journal of Machine Learning Research - Proceedings Track	2009	DBLP BibTeX RDF
1	John Darby, Baihua Li, Nicholas Costen, David J. Fleet, Neil D. Lawrence	Backing Off: Hierarchical Decomposition of Activity for 3D Novel Pose Recovery.	BMVC	2009	DBLP BibTeX RDF
1	Neil D. Lawrence, Raquel Urtasun	Non-linear matrix factorization with Gaussian processes.	ICML	2009	DBLP DOI BibTeX RDF
1	Pei Gao, Antti Honkela, Magnus Rattray, Neil D. Lawrence	Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities.	ECCB	2008	DBLP DOI BibTeX RDF
1	Carl Henrik Ek, Jonathan Rihan, Philip H. S. Torr, Grégory Rogez, Neil D. Lawrence	Ambiguity Modeling in Latent Spaces.	MLMI	2008	DBLP DOI BibTeX RDF
1	Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell, Neil D. Lawrence	Topologically-constrained latent variable models.	ICML	2008	DBLP DOI BibTeX RDF
1	Mauricio A. Álvarez, Neil D. Lawrence	Sparse Convolved Gaussian Processes for Multi-output Regression.	NIPS	2008	DBLP BibTeX RDF
1	Ben Calderhead, Mark Girolami, Neil D. Lawrence	Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes.	NIPS	2008	DBLP BibTeX RDF
1	Michalis K. Titsias, Neil D. Lawrence, Magnus Rattray	Efficient Sampling for Gaussian Process Inference using Control Variables.	NIPS	2008	DBLP BibTeX RDF
1	Neil D. Lawrence	Learning for Larger Datasets with the Gaussian Process Latent Variable Model.	Journal of Machine Learning Research - Proceedings Track	2007	DBLP BibTeX RDF
1	Brian Ferris, Dieter Fox, Neil D. Lawrence	WiFi-SLAM Using Gaussian Process Latent Variable Models.	IJCAI	2007	DBLP BibTeX RDF
1	Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrence	Gaussian Process Latent Variable Models for Human Pose Estimation.	MLMI	2007	DBLP DOI BibTeX RDF
1	Raquel Urtasun, David J. Fleet, Neil D. Lawrence	Modeling Human Locomotion with Topologically Constrained Latent Variable Models.	Workshop on Human Motion	2007	DBLP DOI BibTeX RDF
1	Luka Eciolaza, Muhammad Alkarouri, Neil D. Lawrence, Visakan Kadirkamanathan, Peter J. Fleming	Gaussian Process Latent Variable Models for Fault Detection.	CIDM	2007	DBLP DOI BibTeX RDF
1	Neil D. Lawrence, Andrew J. Moore	Hierarchical Gaussian process latent variable models.	ICML	2007	DBLP DOI BibTeX RDF
1	Jonathan Laidler, Martin Cooke, Neil D. Lawrence	Model-driven detection of clean speech patches in noise.	INTERSPEECH	2007	DBLP BibTeX RDF
1	Guido Sanguinetti, Magnus Rattray, Neil D. Lawrence	A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription.	Bioinformatics	2006	DBLP DOI BibTeX RDF
1	Xuejun Liu, Marta Milo, Neil D. Lawrence, Magnus Rattray	Probe-level measurement error improves accuracy in detecting differential gene expression.	Bioinformatics	2006	DBLP DOI BibTeX RDF
1	Guido Sanguinetti, Neil D. Lawrence, Magnus Rattray	Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities.	Bioinformatics	2006	DBLP DOI BibTeX RDF
1	Tonatiuh Peña Centeno, Neil D. Lawrence	Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis.	Journal of Machine Learning Research	2006	DBLP BibTeX RDF
1	Magnus Rattray, Xuejun Liu, Guido Sanguinetti, Marta Milo, Neil D. Lawrence	Propagating uncertainty in microarray data analysis.	Briefings in Bioinformatics	2006	DBLP DOI BibTeX RDF
1	Guido Sanguinetti, Neil D. Lawrence	Missing Data in Kernel PCA.	ECML	2006	DBLP DOI BibTeX RDF
1	Nathaniel J. King, Neil D. Lawrence	Fast Variational Inference for Gaussian Process Models Through KL-Correction.	ECML	2006	DBLP DOI BibTeX RDF
1	Guido Sanguinetti, Magnus Rattray, Neil D. Lawrence	Identifying Submodules of Cellular Regulatory Networks.	CMSB	2006	DBLP DOI BibTeX RDF
1	Neil D. Lawrence, Joaquin Quiñonero Candela	Local distance preservation in the GP-LVM through back constraints.	ICML	2006	DBLP DOI BibTeX RDF
1	Neil D. Lawrence, Guido Sanguinetti, Magnus Rattray	Modelling transcriptional regulation using Gaussian Processes.	NIPS	2006	DBLP BibTeX RDF
1	Xuejun Liu, Marta Milo, Neil D. Lawrence, Magnus Rattray	A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips.	Bioinformatics	2005	DBLP DOI BibTeX RDF
1	Guido Sanguinetti, Marta Milo, Magnus Rattray, Neil D. Lawrence	Accounting for probe-level noise in principal component analysis of microarray data.	Bioinformatics	2005	DBLP DOI BibTeX RDF
1	Neil D. Lawrence	Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models.	Journal of Machine Learning Research	2005	DBLP BibTeX RDF
1	Michael E. Tipping, Neil D. Lawrence	Variational inference for Student-t models: Robust Bayesian interpolation and generalised component analysis.	Neurocomputing	2005	DBLP DOI BibTeX RDF
1	Joab Winkler, Mahesan Niranjan, Neil D. Lawrence (eds.)	Deterministic and Statistical Methods in Machine Learning, First International Workshop, Sheffield, UK, September 7-10, 2004, Revised Lectures	Deterministic and Statistical Methods in Machine Learning	2005	DBLP BibTeX RDF
1	Yasser Hifny, Steve Renals, Neil D. Lawrence	A hybrid Maxent/HMM based ASR system.	INTERSPEECH	2005	DBLP BibTeX RDF
1	Neil D. Lawrence, Marta Milo, Mahesan Niranjan, Penny Rashbass, Stephan Soullier	Reducing the variability in cDNA microarray image processing by Bayesian inference.	Bioinformatics	2004	DBLP DOI BibTeX RDF
1	Neil D. Lawrence, John C. Platt, Michael I. Jordan	Extensions of the Informative Vector Machine.	Deterministic and Statistical Methods in Machine Learning	2004	DBLP DOI BibTeX RDF
1	Neil D. Lawrence, John C. Platt	Learning to learn with the informative vector machine.	ICML	2004	DBLP DOI BibTeX RDF
1	Neil D. Lawrence, Michael I. Jordan	Semi-supervised Learning via Gaussian Processes.	NIPS	2004	DBLP BibTeX RDF
1	Jaco Vermaak, Neil D. Lawrence, Patrick Pérez	Variational Inference for Visual Tracking.	CVPR	2003	DBLP DOI BibTeX RDF
1	Neil D. Lawrence	Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data.	NIPS	2003	DBLP BibTeX RDF
1	Neil D. Lawrence, Matthias Seeger, Ralf Herbrich	Fast Sparse Gaussian Process Methods: The Informative Vector Machine.	NIPS	2002	DBLP BibTeX RDF
1	Boaz Lerner, Neil D. Lawrence	A Comparison of State-of-the-Art Classification Techniques with Application to Cytogenetics.	Neural Computing and Applications	2001	DBLP DOI BibTeX RDF	Bayesian neural network, Fluorescence in situ hybridisation (FISH), Naive Bayesian classifier, Signal classification, Support vector machine, Multilayer perceptron
1	Antony I. T. Rowstron, Neil D. Lawrence, Christopher M. Bishop	Probabilistic Modelling of Replica Divergence.	HotOS	2001	DBLP DOI BibTeX RDF
1	Neil D. Lawrence, Bernhard Schölkopf	Estimating a Kernel Fisher Discriminant in the Presence of Label Noise.	ICML	2001	DBLP BibTeX RDF
1	Neil D. Lawrence, Antony I. T. Rowstron, Christopher M. Bishop, M. J. Taylor	Optimising Synchronisation Times for Mobile Devices.	NIPS	2001	DBLP BibTeX RDF
1	Neil D. Lawrence, Christopher M. Bishop, Michael I. Jordan	Mixture Representations for Inference and Learning in Boltzmann Machines.	UAI	1998	DBLP BibTeX RDF
1	Christopher M. Bishop, Neil D. Lawrence, Tommi Jaakkola, Michael I. Jordan	Approximating Posterior Distributions in Belief Networks Using Mixtures.	NIPS	1997	DBLP BibTeX RDF

Publications of "Neil D. Lawrence" ( http://dblp.L3S.de/Authors/Neil_D._Lawrence )