ND Lawrence

Semi-supervised learning via Gaussian processes (2005)

Lawrence, ND, Jordan, MI

A variational approach to robust Bayesian interpolation (2005)

Tipping, ME, Lawrence, ND

Acoustic space dimensionality selection and combination using the maximum entropy principle (2004)

Abdel-Haleem, YH, Renals, S, Lawrence, ND

Gaussian process models for visualisation of high dimensional data (2004)

Lawrence, ND

Learning to learn with the informative vector machine (2004)

Lawrence, ND, Platt, JC

Reducing the variability in cDNA microarray image processing by Bayesian inference (2004)

Lawrence, ND, Milo, M, Niranjan, M, Rashbass, P, Soullier, S

Bayesian processing of microarray images (2003)

Lawrence, ND, Milo, M, Niranjan, M, Rashbass, P, Soullier, S

Fast sparse Gaussian process methods: the informative vector machine (2003)

Lawrence, ND, Seeger, M, Herbrich, R

A probabilistic model for the extraction of expression levels from oligonucleotide arrays (2003)

Milo, M, Fazeli, A, Niranjan, M, Lawrence, ND

Fast forward selection to speed up sparse Gaussian process regression (2003)

Seeger, M, Williams, CKI, Lawrence, ND

A variational approach to robust Bayesian interpolation (2003)

Tipping, ME, Lawrence, ND

Variational inference for visual tracking (2003)

Vermaak, J, Lawrence, ND, Perez, P

Optimising synchronisation times for mobile devices (2002)

Lawrence, ND, Rowstron, AIT, Bishop, CM, Taylor, MJ

Estimating a kernel Fisher discriminant in the presence of label noise (2001)

Lawrence, ND, Scholkopf, B

Node relevance determination (2001)

Lawrence, ND

Variational learning for multi-layer networks of linear threshold units (2001)

Lawrence, ND

comparison of state-of-the-art classification techniques with application to cytogenetics (2001)

Lerner, B, Lawrence, ND

Probabilistic modelling of replica divergence (2001)

Rowstron, AIT, Lawrence, ND, Bishop, CM