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NIPS
2008
15 years 5 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
147
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ESANN
2006
15 years 4 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
121
Voted
ESANN
2003
15 years 4 months ago
Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression
In this paper we extend a form of kernel ridge regression for data characterised by a heteroscedastic noise process (introduced in Foxall et al. [1]) in order to provide approxima...
Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Fo...
140
Voted
WSC
2004
15 years 4 months ago
Estimating Efficacy of Progressive Planning for Air Traffic Flow Management
Air traffic flow management (TFM) is a set of processes and procedures which seek to balance the demand for airspace resources with the capacity of these resources. Examples of re...
Lynne Fellman, James S. DeArmon, Kelly A. Connolly
PICS
2000
15 years 4 months ago
CCD Requirements for Digital Photography
Digital photography has the potential to supersede conventional film photography. In order to realize this potential, digital photography needs to provide the best image quality a...
Richard L. Baer
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