Dan Cornford

Publication Activity (10 Years)

Years Active: 1998-2014
Publications (10 Years): 0

Top Topics

Markov Chain Monte Carlo

Bayesian Inference

Simulation Model

Gaussian Process Classification

Top Venues

Comput. Stat. Data Anal.

Publications

Alexis Boukouvalas, Dan Cornford, Milan Stehlík
Optimal design for correlated processes with input-dependent noise. Comput. Stat. Data Anal. 71 (2014)
Alexis Boukouvalas, Pete Sykes, Dan Cornford, Hugo Maruri-Aguilar
Bayesian Precalibration of a Large Stochastic Microsimulation Model. IEEE Trans. Intell. Transp. Syst. 15 (3) (2014)
Lucy Bastin, Dan Cornford, Richard Jones, Gerard B. M. Heuvelink, Edzer J. Pebesma, Christoph Stasch, Stefano Nativi, Paolo Mazzetti, Matthew Williams
Managing uncertainty in integrated environmental modelling: The UncertWeb framework. Environ. Model. Softw. 39 (2013)
Yuan Shen, Dan Cornford, Manfred Opper, Cédric Archambeau
Variational Markov chain Monte Carlo for Bayesian smoothing of non-linear diffusions. Comput. Stat. 27 (1) (2012)
Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford
Gaussian Process Quantile Regression using Expectation Propagation. ICML (2012)
Richard Jones, Dan Cornford, Lucy Bastin
UncertWeb Processing Service: Making Models Easier to Access on the Web. Trans. GIS 16 (6) (2012)
Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford
Gaussian Process Quantile Regression using Expectation Propagation. CoRR (2012)
Remi Louis Barillec, Ben Ingram, Dan Cornford, Lehel Csató
Projected sequential Gaussian processes: A C++ tool for interpolation of large datasets with heterogeneous noise. Comput. Geosci. 37 (3) (2011)
Jon O. Skøien, Michael Schulz, Grégoire Dubois, Richard Jones, Gerard B. M. Heuvelink, Dan Cornford
Uncertainty propagation in chained web based modeling services: the case of eHabitat. EnviroInfo (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. Comput. Geosci. 37 (3) (2011)
Grégoire Dubois, Dan Cornford, Dionissios T. Hristopulos, Edzer J. Pebesma, Jürgen Pilz
Introduction to this special issue on geoinformatics for environmental surveillance. Comput. Geosci. 37 (3) (2011)
Matthew Williams, Dan Cornford, Lucy Bastin, Richard Jones, Stephen Parker
Automatic processing, quality assurance and serving of real-time weather data. Comput. Geosci. 37 (3) (2011)
Yuan Shen, Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor, Remi Louis Barillec
A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems. J. Signal Process. Syst. 61 (1) (2010)
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) (2010)
Peter Adebayo Idowu, Dan Cornford, Lucy Bastin
A Conceptual Data Model for Disease Surveillance, Monitoring and Prediction in Nigeria. HEALTHINF (2009)
Michail D. Vrettas, Dan Cornford, Yuan Shen
A variational radial basis function approximation for diffusion processes. ESANN (2009)
Martin Schroeder, Dan Cornford, Ian T. Nabney
Data Visualisation and Exploration with Prior Knowledge. EANN (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. Gaussian Processes in Practice (2007)
Anthony Jones, Dan Cornford
Defining the Fluid Framework. IRI (2007)
Anthony Jones, C. Mantle, Dan Cornford
Data Driven Graphical Applications: A Fluid Approach. TPCG (2007)
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)
Robert J. Bullen, Dan Cornford, Ian T. Nabney
Outlier detection in scatterometer data: neural network approaches. Neural Networks 16 (3-4) (2003)
Lehel Csató, Dan Cornford, Manfred Opper
Online Approximations for Wind-Field Models. ICANN (2001)
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) (2000)
Ian T. Nabney, Dan Cornford, Christopher K. I. Williams
Bayesian inference for wind field retrieval. Neurocomputing 30 (1-4) (2000)
Dan Cornford, Guillaume Ramage, Ian T. Nabney
A scatterometer neural network sensor model with input noise. Neurocomputing 30 (1-4) (2000)
W. A. Wright, Guillaume Ramage, Dan Cornford, Ian T. Nabney
Neural Network Modelling with Input Uncertainty: Theory and Application. J. VLSI Signal Process. 26 (1-2) (2000)
Dan Cornford, Ian T. Nabney, Christopher M. Bishop
Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data. Neural Comput. Appl. 8 (3) (1999)
Dan Cornford, Ian T. Nabney, Christopher K. I. Williams
Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields. NIPS (1998)