Papers authored by Neil Lawrence
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WiFi-SLAM using Gaussian process latent variable models
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Magnus Rattray ,
Rattray M; Sanguinetti G; Lawrence N;
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Joaquin Quiñonero Candela,
Joaquin Quiñonero-Candela
Local distance preservation in the GP-LVM through back constraints
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Neil D. Lawrence
Identifying Submodules of Cellular Regulatory Networks
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Bernhard Schölkopf,
Guido Sanguinetti,
Magnus Rattray ,
John C. Platt,
Thomas Hoffman
Modelling transcriptional regulation using Gaussian Processes
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Fast Variational Inference for Gaussian Process Models Through KL-Correction
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Magnus Rattray
Probe-level measurement error improves accuracy in detecting differential gene expression
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Magnus Rattray ,
Rattray M; Liu X; Milo M; Lawrence N;
A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips
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Neil D. Lawrence
Accounting for probe-level noise in principal component analysis of microarray data
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Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
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Marta Milo,
Mahesan Niranjan,
Penny Rashbass,
Stephan Soullier
Reducing the Variability in cDNA Microarray Image Processing By Bayesian Inference
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John C. Platt,
Michael I. Jordan
Extensions of the Informative Vector Machine.
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Acoustic Space Dimensionality Selection and Combination using the Maximum Entropy Principle
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John C. Platt
Learning to Learn with the Informative Vector Machine
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