Papers authored by Neil Lawrence
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Michael I. Jordan
Semi-supervised Learning via Gaussian Processes.
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A probabilistic model for the extraction of expression levels from oligonucleotide arrays
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P. Perez
Variational inference for visual tracking
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Tommi Jaakkola,
Michael I. Jordan
Approximating Posterior Distributions in Belief Networks using Mixtures
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Matthias Seeger,
Ralf Herbrich
Fast Sparse Gaussian Process Methods: The Informative Vector Machine
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Antony I. T. Rowstron,
Christopher M. Bishop,
Michael J. Taylor
Optimising Synchronisation Times for Mobile Devices
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C. M. Bishop
Probabilistic modelling of replica divergence
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A Comparison of State-of-the-Art Classification Techniques with Application to Cytogenetics
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Neil D. Lawrence ,
Antti Honkela Magnus Rattray Neil D. Lawrence Pei Gao
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Ambiguity Modeling in Latent Spaces
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Automatic Determination of the Number of Clusters Using Spectral Algorithms
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Gaussian Process Latent Variable Models for Human Pose Estimation
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