Dan Cornford

According to our database, Dan Cornford authored at least 30 papers between 1998 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2014

Bayesian Precalibration of a Large Stochastic Microsimulation Model.

Alexis Boukouvalas, Pete Sykes, Dan Cornford, Hugo Maruri-Aguilar

IEEE Trans. Intell. Transp. Syst., 2014

Optimal design for correlated processes with input-dependent noise.

Alexis Boukouvalas, Dan Cornford, Milan Stehlík

Comput. Stat. Data Anal., 2014

2013

Managing uncertainty in integrated environmental modelling: The UncertWeb framework.

Lucy Bastin, Dan Cornford, Richard Jones, Gerard B. M. Heuvelink, Edzer J. Pebesma, Christoph Stasch, Stefano Nativi, Paolo Mazzetti, Matthew Williams

Environ. Model. Softw., 2013

2012

UncertWeb Processing Service: Making Models Easier to Access on the Web.

Richard Jones, Dan Cornford, Lucy Bastin

Trans. GIS, 2012

Variational Markov chain Monte Carlo for Bayesian smoothing of non-linear diffusions.

Yuan Shen, Dan Cornford, Manfred Opper, Cédric Archambeau

Comput. Stat., 2012

Gaussian Process Quantile Regression using Expectation Propagation.

Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Automatic processing, quality assurance and serving of real-time weather data.

Matthew Williams, Dan Cornford, Lucy Bastin, Richard Jones, Stephen Parker

Comput. Geosci., 2011

INTAMAP: The design and implementation of an interoperable automated interpolation web service.

Edzer J. Pebesma, Dan Cornford, Grégoire Dubois, Gerard B. M. Heuvelink, Dionissios T. Hristopulos, Jürgen Pilz, Ulrich Stöhlker, Gary Morin, Jon O. Skøien

Comput. Geosci., 2011

Introduction to this special issue on geoinformatics for environmental surveillance.

Grégoire Dubois, Dan Cornford, Dionissios T. Hristopulos, Edzer J. Pebesma, Jürgen Pilz

Comput. Geosci., 2011

Projected sequential Gaussian processes: A C++ tool for interpolation of large datasets with heterogeneous noise.

Remi Louis Barillec, Ben Ingram, Dan Cornford, Lehel Csató

Comput. Geosci., 2011

Uncertainty propagation in chained web based modeling services: the case of eHabitat.

Jon O. Skøien, Michael Schulz, Grégoire Dubois, Richard Jones, Gerard B. M. Heuvelink, Dan Cornford

Proceedings of the Innovations in Sharing Environmental Observations and Information: Proceedings of the 25th International Conference on Informatics for Environmental Protection, 2011

2010

A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems.

Yuan Shen, Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor, Remi Louis Barillec

J. Signal Process. Syst., 2010

A new variational radial basis function approximation for inference in multivariate diffusions.

Michail D. Vrettas, Dan Cornford, Manfred Opper, Yuan Shen

Neurocomputing, 2010

2009

A variational radial basis function approximation for diffusion processes.

Michail D. Vrettas, Dan Cornford, Yuan Shen

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Data Visualisation and Exploration with Prior Knowledge.

Martin Schroeder, Dan Cornford, Ian T. Nabney

Proceedings of the Engineering Applications of Neural Networks, 2009

A Conceptual Data Model for Disease Surveillance, Monitoring and Prediction in Nigeria.

Peter Adebayo Idowu, Dan Cornford, Lucy Bastin

Proceedings of the Second International Conference on Health Informatics, 2009

2008

Describing and Communicating Uncertainty within the Semantic Web.

Matthew Williams, Lucy Bastin, Dan Cornford, Ben Ingram

Proceedings of the Fourth International Workshop on Uncertainty Reasoning for the Semantic Web, 2008

2007

Gaussian Process Approximations of Stochastic Differential Equations.

Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor

Proceedings of the Gaussian Processes in Practice, 2007

Data Driven Graphical Applications: A Fluid Approach.

Anthony Jones, C. Mantle, Dan Cornford

Proceedings of the EG UK Theory and Practice of Computer Graphics, 2007

Variational Inference for Diffusion Processes.

Cédric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford, John Shawe-Taylor

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Defining the Fluid Framework.

Anthony Jones, Dan Cornford

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2007

2006

Advanced Data Driven Visualisation for Geo-spatial Data.

Anthony Jones, Dan Cornford

Proceedings of the Computational Science, 2006

2003

Outlier detection in scatterometer data: neural network approaches.

Robert J. Bullen, Dan Cornford, Ian T. Nabney

Neural Networks, 2003

2001

Online Approximations for Wind-Field Models.

Lehel Csató, Dan Cornford, Manfred Opper

Proceedings of the Artificial Neural Networks, 2001

2000

Neural Network Modelling with Input Uncertainty: Theory and Application.

W. A. Wright, Guillaume Ramage, Dan Cornford, Ian T. Nabney

J. VLSI Signal Process., 2000

Bayesian inference for wind field retrieval.

Ian T. Nabney, Dan Cornford, Christopher K. I. Williams

Neurocomputing, 2000

Structured neural network modelling of multi-valued functions for wind vector retrieval from satellite scatterometer measurements.

David J. Evans, Dan Cornford, Ian T. Nabney

Neurocomputing, 2000

A scatterometer neural network sensor model with input noise.

Dan Cornford, Guillaume Ramage, Ian T. Nabney

Neurocomputing, 2000

1999

Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data.

Dan Cornford, Ian T. Nabney, Christopher M. Bishop

Neural Comput. Appl., 1999

1998

Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields.

Dan Cornford, Ian T. Nabney, Christopher K. I. Williams

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998