Result 1 to 20 of 24 total
Automatic processing, quality assurance and serving of real-time weather data (English)
Computers & Geosciences 37, No. 3, 353-362 (2011).
1
Introduction to this special issue on geoinformatics for environmental surveillance (English)
Computers & Geosciences 37, No. 3, 277-279 (2011).
2
INTAMAP: the design and implementation of an interoperable automated interpolation web service (English)
Computers & Geosciences 37, No. 3, 343-352 (2011).
3
Projected sequential Gaussian processes: A C++ tool for interpolation of large datasets with heterogeneous noise (English)
Computers & Geosciences 37, No. 3, 295-309 (2011).
4
A comparison of variational and Markov chain Monte Carlo methods for inference in partially observed stochastic dynamic systems. (English)
J. Signal Process. Syst. Signal Image Video Technol. 61, No. 1, 51-59 (2010).
5
A new variational radial basis function approximation for inference in multivariate diffusions. (English)
Neurocomputing 73, No. 7-9, 1186-1198 (2010).
6
A comparison of variational and Markov chain Monte Carlo methods for inference in partially observed stochastic dynamic systems (English)
Signal Processing Systems 61, No. 1, 51-59 (2010).
7
Data visualisation and exploration with prior knowledge. (English)
Palmer-Brown, Dominic (ed.) et al., Engineering applications of neural networks. 11th international conference, EANN 2009, London, UK, August 27‒29, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-03968-3/pbk; 978-3-642-03969-0/ebook). Communications in Computer and Information Science 43, 131-142 (2009).
8
A conceptual data model for disease surveillance, monitoring and prediction in nigeria (English)
HEALTHINF, 442-449 (2009).
9
Describing and communicating uncertainty within the semantic web (English)
URSW (2008).
10
Gaussian process approximations of stochastic differential equations (English)
Journal of Machine Learning Research - Proceedings Track 1, 1-16 (2007).
11
Defining the fluid framework (English)
IRI, 695-700 (2007).
12
Variational inference for diffusion processes (English)
NIPS (2007).
13
Advanced data driven visualisation for geo-spatial data. (English)
Alexandrov, Vassil N. (ed.) et al., Computational science ‒ ICCS 2006. 6th international conference, Reading, UK, May 28‒31, 2006. Proceedings, Part III. Berlin: Springer (ISBN 3-540-34383-0/pbk). Lecture Notes in Computer Science 3993, 586-592 (2006).
14
Advanced data driven visualisation for geo-spatial data (English)
International Conference on Computational Science (3), 586-592 (2006).
15
Outlier detection in scatterometer data: Neural network approaches. (English)
Neural Netw. 16, No. 3-4, 419-426 (2003).
16
Online approximations for wind-field models. (English)
Dorffner, Georg (ed.) et al., Artificial neural networks - ICANN 2001. International conference, Vienna, Austria, August 21-25, 2001. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 2130, 300-307 (2001).
17
Online approximations for wind-field models (English)
ICANN, 300-307 (2001).
18
Structured neural network modelling of multi-valued functions for wind vector retrieval from satellite scatterometer measurements. (English)
Neurocomputing 30, No. 1-4, 23-30 (2000).
19
A scatterometer neural network sensor model with input noise. (English)
Neurocomputing 30, No. 1-4, 13-21 (2000).
20
Result 1 to 20 of 24 total
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