Dan Cornford

Richard Jones, Dan Cornford, Lucy Bastin: UncertWeb Processing Service: Making Models Easier to Access on the Web. T. GIS 16(6): 921-939 (2012)

Alexis Boukouvalas, Remi Barillec, Dan Cornford: Gaussian Process Quantile Regression using Expectation Propagation. ICML 2012

Grégoire Dubois, Dan Cornford, Dionissios T. Hristopulos, Edzer J. Pebesma, Jürgen Pilz: Introduction to this special issue on geoinformatics for environmental surveillance. Computers & Geosciences 37(3): 277-279 (2011)

Remi Barillec, Ben Ingram, Dan Cornford, Lehel Csató: Projected sequential Gaussian processes: A C++ tool for interpolation of large datasets with heterogeneous noise. Computers & Geosciences 37(3): 295-309 (2011)

Edzer J. Pebesma, Dan Cornford, Grégoire Dubois, Gerard B. M. Heuvelink, Dionissios T. Hristopulos, Jürgen Pilz, Ulrich Stöhlker, Gary Morin, Jon O. Skøien: INTAMAP: The design and implementation of an interoperable automated interpolation web service. Computers & Geosciences 37(3): 343-352 (2011)

Matthew Williams, Dan Cornford, Lucy Bastin, Richard Jones, Stephen Parker: Automatic processing, quality assurance and serving of real-time weather data. Computers & Geosciences 37(3): 353-362 (2011)

Michail D. Vrettas, Dan Cornford, Manfred Opper, Yuan Shen: A new variational radial basis function approximation for inference in multivariate diffusions. Neurocomputing 73(7-9): 1186-1198 (2010)

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 61(1): 51-59 (2010)

Peter Adebayo Idowu, Dan Cornford, Lucy Bastin: A Conceptual Data Model for Disease Surveillance, Monitoring and Prediction in Nigeria. HEALTHINF 2009: 442-449

Michail D. Vrettas, Dan Cornford, Yuan Shen: A variational radial basis function approximation for diffusion processes. ESANN 2009

Matthew Williams, Lucy Bastin, Dan Cornford, Ben Ingram: Describing and Communicating Uncertainty within the Semantic Web. URSW 2008

Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor: Gaussian Process Approximations of Stochastic Differential Equations. Journal of Machine Learning Research - Proceedings Track 1: 1-16 (2007)

Anthony Jones, Dan Cornford: Defining the Fluid Framework. IRI 2007: 695-700

Cédric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford, John Shawe-Taylor: Variational Inference for Diffusion Processes. NIPS 2007

Anthony Jones, Dan Cornford: Advanced Data Driven Visualisation for Geo-spatial Data. International Conference on Computational Science (3) 2006: 586-592

Robert J. Bullen, Dan Cornford, Ian T. Nabney: Outlier detection in scatterometer data: neural network approaches. Neural Networks 16(3-4): 419-426 (2003)

Lehel Csató, Dan Cornford, Manfred Opper: Online Approximations for Wind-Field Models. ICANN 2001: 300-307

Ian T. Nabney, Dan Cornford, Christopher K. I. Williams: Bayesian inference for wind field retrieval. Neurocomputing 30(1-4): 3-11 (2000)

Dan Cornford, Guillaume Ramage, Ian T. Nabney: A scatterometer neural network sensor model with input noise. Neurocomputing 30(1-4): 13-21 (2000)

David J. Evans, Dan Cornford, Ian T. Nabney: Structured neural network modelling of multi-valued functions for wind vector retrieval from satellite scatterometer measurements. Neurocomputing 30(1-4): 23-30 (2000)

W. A. Wright, Guillaume Ramage, Dan Cornford, Ian T. Nabney: Neural Network Modelling with Input Uncertainty: Theory and Application. VLSI Signal Processing 26(1-2): 169-188 (2000)

Dan Cornford, Ian T. Nabney, Christopher M. Bishop: Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data. Neural Computing and Applications 8(3): 206-217 (1999)

Dan Cornford, Ian T. Nabney, Christopher K. I. Williams: Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields. NIPS 1998: 861-867