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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 9 occurrences of 8 keywords
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Results
Found 25 publication records. Showing 25 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Ryszard Maciol, Yuan Yuan, Ian T. Nabney |
Colour Image Coding with Matching Pursuit in the Spatio-frequency Domain.  |
ICIAP  |
2011 |
DBLP DOI BibTeX RDF |
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| 1 | Hang T. Nguyen, Ian T. Nabney |
Variational inference for Student-t MLP models. |
Neurocomputing |
2010 |
DBLP DOI BibTeX RDF |
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| 1 | Ben Van Calster, Dirk Timmerman, Ian T. Nabney, Lil Valentin, Antonia C. Testa, Caroline Van Holsbeke, Ignace Vergote, Sabine Van Huffel |
Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery. |
Neural Computing and Applications |
2008 |
DBLP DOI BibTeX RDF |
Ovarian tumour classification, Bayesian evidence framework, Netlab, Multi-layer perceptrons, Ultrasound, Automatic relevance determination |
| 1 | Hang T. Nguyen, Ian T. Nabney |
Combining the Wavelet Transform and Forecasting Models to Predict Gas Forward Prices. |
ICMLA |
2008 |
DBLP DOI BibTeX RDF |
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| 1 | Dharmesh M. Maniyar, Ian T. Nabney, Bruce S. Williams, Andreas Sewing |
Data Visualization during the Early Stages of Drug Discovery. |
Journal of Chemical Information and Modeling |
2006 |
DBLP DOI BibTeX RDF |
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| 1 | Dharmesh M. Maniyar, Ian T. Nabney |
Data Visualization with Simultaneous Feature Selection. |
CIBCB |
2006 |
DBLP DOI BibTeX RDF |
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| 1 | Dharmesh M. Maniyar, Ian T. Nabney |
Visual data mining using principled projection algorithms and information visualization techniques. |
KDD |
2006 |
DBLP DOI BibTeX RDF |
information visualization techniques, probabilistic projection algorithms, visual data mining |
| 1 | Ian T. Nabney, Yi Sun, Peter Tiño, Ata Kabán |
Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization. |
IEEE Trans. Knowl. Data Eng. |
2005 |
DBLP DOI BibTeX RDF |
latent trait model, magnification factors, document mining, data visualization, Hierarchical model |
| 1 | Davide D'Alimonte, David Lowe, Ian T. Nabney, Vassilis Mersinias, Colin P. Smith |
MILVA: An interactive tool for the exploration of multidimensional microarray data. |
Bioinformatics |
2005 |
DBLP DOI BibTeX RDF |
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| 1 | Ian T. Nabney |
Efficient Training Of Rbf Networks For Classification. |
Int. J. Neural Syst. |
2004 |
DBLP DOI BibTeX RDF |
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| 1 | Peter Tiño, Ian T. Nabney, Bruce S. Williams, Jens Lösel, Yi Sun |
Nonlinear Prediction of Quantitative Structure-Activity Relationships. |
Journal of Chemical Information and Modeling |
2004 |
DBLP DOI BibTeX RDF |
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| 1 | Dharmesh M. Maniyar, Ian T. Nabney |
Guiding Local Regression Using Visualisation. |
Deterministic and Statistical Methods in Machine Learning |
2004 |
DBLP DOI BibTeX RDF |
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| 1 | Robert J. Bullen, Dan Cornford, Ian T. Nabney |
Outlier detection in scatterometer data: neural network approaches. |
Neural Networks |
2003 |
DBLP DOI BibTeX RDF |
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| 1 | Peter Tiño, Ian T. Nabney |
Hierarchical GTM: Constructing Localized Nonlinear Projection Manifolds in a Principled Way. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2002 |
DBLP DOI BibTeX RDF |
Hierarchical probabilistic model, generative topographic mapping, directional curvature, EM algorithm, data visualization, density estimation |
| 1 | Peter Tiño, Ian T. Nabney, Yi Sun |
Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds. |
ICANN |
2001 |
DBLP DOI BibTeX RDF |
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| 1 | W. A. Wright, Guillaume Ramage, Dan Cornford, Ian T. Nabney |
Neural Network Modelling with Input Uncertainty: Theory and Application. |
VLSI Signal Processing |
2000 |
DBLP DOI BibTeX RDF |
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| 1 | 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 |
2000 |
DBLP DOI BibTeX RDF |
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| 1 | Dan Cornford, Guillaume Ramage, Ian T. Nabney |
A scatterometer neural network sensor model with input noise. |
Neurocomputing |
2000 |
DBLP DOI BibTeX RDF |
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| 1 | Ian T. Nabney, Dan Cornford, Christopher K. I. Williams |
Bayesian inference for wind field retrieval. |
Neurocomputing |
2000 |
DBLP DOI BibTeX RDF |
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| 1 | Lars U. Hjorth, Ian T. Nabney |
Bayesian Training of Mixture Density Networks. |
IJCNN |
2000 |
DBLP DOI BibTeX RDF |
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| 1 | Dan Cornford, Ian T. Nabney, Christopher M. Bishop |
Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data. |
Neural Computing and Applications |
1999 |
DBLP DOI BibTeX RDF |
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| 1 | Dan Cornford, Ian T. Nabney, Christopher K. I. Williams |
Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields. |
NIPS |
1998 |
DBLP BibTeX RDF |
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| 1 | Ian T. Nabney, David C. Cressy |
Neural Network Control of a Gas Turbine. |
Neural Computing and Applications |
1996 |
DBLP DOI BibTeX RDF |
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| 1 | Ansgar H. L. West, David Saad, Ian T. Nabney |
The Learning Dynamcis of a Universal Approximator. |
NIPS |
1996 |
DBLP BibTeX RDF |
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| 1 | David C. Cressy, Ian T. Nabney, Adrian M. Simper |
Neural Control of a Batch Distillation. |
Neural Computing and Applications |
1993 |
DBLP DOI BibTeX RDF |
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