D. Cornford

发表

Modelling Frontal Discontinuities in Wind Fields

Christopher K. I. Williams, I. Nabney, D. Cornford, 2002 .

Gaussian Process Approximations of Stochastic Differential Equations

Dan Cornford, John Shawe-Taylor, Manfred Opper, 2007, Gaussian Processes in Practice.

Outlier detection in scatterometer data: neural network approaches

Dan Cornford, Ian T. Nabney, Robert J. Bullen, 2003, Neural Networks.

Improved neural network scatterometer forward models

I. Nabney, D. Cornford, G. Ramage, 2001 .

Bayesian inference for wind field retrieval

Dan Cornford, Christopher K. I. Williams, Ian T. Nabney, 2000, Neurocomputing.

Non-zero mean Gaussian process prior wind field models

D. Cornford, 1998 .

Random field models and priors on wind

D. Cornford, 1998 .

Bayesian retrieval of scatterometer wind fields

I. Nabney, D. Cornford, David J. Evans, 1999 .

Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data

Dan Cornford, Christopher M. Bishop, Ian T. Nabney, 1999, Neural Computing & Applications.

The uncertainty enabled model web (UncertWeb)

D. Cornford, E. Pebesma, S. Nativi, 2010 .

Health informatics deployment in Nigeria

Dan Cornford, Lucy Bastin, Peter Adebayo Idowu, 2008 .

How good are citizen weather stations? Addressing a biased opinion

D. Cornford, L. Bastin, S. Bell, 2015 .

Online Learning of Wind-Field Models

M. Opper, D. Cornford, L. Csató, 2001 .

Dicussion on the meeting on ‘Statistical approaches to inverse problems’

Simon J. Godsill, Dan Cornford, Eric Moulines, 2004 .

Sequential, Bayesian Geostatistics: A Principled Method for Large Data Sets

Dan Cornford, Manfred Opper, Lehel Csató, 2005 .

Outlier detection with partial information: application to emergency mapping

D. Cornford, D. D’Alimonte, 2008 .

Data assimilation for precipitation nowcasting using Bayesian inference

Dan Cornford, Remi Barillec, D. Cornford, 2009 .

Derivations of variational gaussian process approximation framework

Dan Cornford, Yuan Shen, Michail D. Vrettas, 2008 .

A basis function approach to Bayesian inference in diffusion processes

M. Opper, D. Cornford, Y. Shen, 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.

Dimension Reduction for Multivariate Emulation

Dan Cornford, Alexis Boukouvalas, D. Cornford, 2008 .

Sequential, Sparse Learning in Gaussian Processes

M. Opper, D. Cornford, L. Csató, 2022 .

observation An integrated view of data quality in Earth

D. Cornford, L. Bastin, J. Masó, 2012 .

Variational Inference in Stochastic Dynamic Environmental Models

J. Shawe-Taylor, M. Opper, D. Cornford, 2005 .

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

M. Opper, C. Archambeau, D. Cornford, 2011, Computational Statistics.

inverse problems: some new approaches

M. Opper, D. Cornford, L. Csató, 2022 .

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

Dan Cornford, Lucy Bastin, Peter Adebayo Idowu, 2009, HEALTHINF.

Bayesian Precalibration of a Large Stochastic Microsimulation Model

Dan Cornford, Alexis Boukouvalas, Pete Sykes, 2014, IEEE Transactions on Intelligent Transportation Systems.

Managing uncertainty in integrated environmental modelling: The UncertWeb framework

Dan Cornford, Christoph Stasch, Edzer J. Pebesma, 2013, Environ. Model. Softw..

Emulation of dynamic computer models with multivariate output

Dan Cornford, Remi Barillec, Alexios Boukouvalas, 2009 .

Variational Inference for Diffusion Processes

Dan Cornford, Yuan Shen, John Shawe-Taylor, 2007, NIPS.

Neural Network Modelling with Input Uncertainty: Theory and Application

Dan Cornford, Ian T. Nabney, Guillaume Ramage, 2000, J. VLSI Signal Process..

A scatterometer neural network sensor model with input noise

Dan Cornford, Ian T. Nabney, Guillaume Ramage, 2000, Neurocomputing.

Flexible Gaussian process wind field models

Dan Cornford, D. Cornford, 1998 .

A Bayesian state space modelling approach to probabilistic quantitative precipitation forecasting

Dan Cornford, D. Cornford, 2004 .

Data Assimilation with Sequential Gaussian Processes

Dan Cornford, Manfred Opper, Lehel Csató, 2002 .

Online Approximations for Wind-Field Models

Dan Cornford, Manfred Opper, Lehel Csató, 2001, ICANN.

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

Dan Cornford, Ian T. Nabney, David J. Evans, 2000, Neurocomputing.

Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields

Dan Cornford, Christopher K. I. Williams, Ian T. Nabney, 1998, NIPS.

Optimal design for correlated processes with input-dependent noise

Dan Cornford, Alexis Boukouvalas, Milan Stehlík, 2014, Comput. Stat. Data Anal..

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

Dan Cornford, Yuan Shen, Manfred Opper, 2012, Comput. Stat..

Dimensionality Reduction in the Emulator Setting

Dan Cornford, Alexis Boukouvalas, Dharmesh M. Maniyar, 2007 .

Addressing missing data in geochemistry: a non-linear approach

Martin Schroeder, Dan Cornford, Paul Farrimond, 2008 .

Estimating parameters in stochastic systems: A variational Bayesian approach

Michail D. Vrettas, M. Opper, D. Cornford, 2011 .

Gaussian Process Approximations of

J. Shawe-Taylor, M. Opper, C. Archambeau, 2007 .

Variational mean-field algorithm for efficient inference in large systems of stochastic differential equations.

Dan Cornford, Manfred Opper, Michail D. Vrettas, 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

An integrated view of data quality in Earth observation

X. Yang, J. D. Blower, L. Bastin, 2013, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Data Visualisation and Exploration with Prior Knowledge

Dan Cornford, Ian T. Nabney, Martin Schroeder, 2009, EANN.

Quantifying Simulator Discrepancy in Discrete-Time Dynamical Simulators

Dan Cornford, Jeremy E. Oakley, Richard D. Wilkinson, 2011 .

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

Jürgen Pilz, Grégoire Dubois, Dan Cornford, 2011, Comput. Geosci..

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

Dan Cornford, Matthew Williams, Lucy Bastin, 2011, Comput. Geosci..

Fast algorithms for automatic mapping with space-limited covariance functions

Dan Cornford, Benjamin R. Ingram, D. Cornford, 2008 .

The state of automated amateur weather observations

Dan Cornford, Lucy Bastin, D. Cornford, 2013 .

Gaussian Process Quantile Regression using Expectation Propagation pdf

Dan Cornford, Alexis Boukouvalas, Remi Louis Barillec, 2012, ICML.

Managing uncertainty in complex stochastic models: design and emulation of a Rabies model

Dan Cornford, Alexander Singer, Alexios Boukouvalas, 2009 .

Block GTM: Incorporating Prior Knowledge of Covariance Structure in Data Visualisation

Dan Cornford, Ian T. Nabney, Martin Schroeder, 2008 .

Geographic Information Systems

Dan Cornford, D. Cornford, 2017, Encyclopedia of GIS.

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

Dan Cornford, Yuan Shen, John Shawe-Taylor, 2007, J. Signal Process. Syst..

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

J. Shawe-Taylor, Y. Shen, C. Archambeau, 2007, 2007 IEEE Workshop on Machine Learning for Signal Processing.

Dimensionality reduction in complex models

Dan Cornford, Dharmesh M. Maniyar, Alexios Boukouvalas, 2007 .

A variational radial basis function approximation for diffusion processes

Dan Cornford, Yuan Shen, Michail D. Vrettas, 2009, ESANN.

Approximately optimal experimental design for heteroscedastic Gaussian process models

Dan Cornford, Milan Stehlík, Alexios Boukouvalas, 2009 .

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

Dan Cornford, Yuan Shen, Manfred Opper, 2010, Neurocomputing.

Data visualisation with missing data: A non-linear approach

Dan Cornford, Martin Schroeder, D. Cornford, 2007 .