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» On Bayesian model and variable selection using MCMC
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CSDA
2007
169views more  CSDA 2007»
14 years 9 months ago
A null space method for over-complete blind source separation
In blind source separation, there are M sources that produce sounds independently and continuously over time. These sounds are then recorded by m receivers. The sound recorded by ...
Ray-Bing Chen, Ying Nian Wu
IJCNN
2000
IEEE
15 years 2 months ago
EM Algorithms for Self-Organizing Maps
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...
Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck
89
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ENTCS
2006
139views more  ENTCS 2006»
14 years 9 months ago
Improving the Usability of a Graph Transformation Language
Model transformation tools implemented using graph transformation techniques are often expected to provide high performance. For this reason, in the Graph Rewriting and Transforma...
Attila Vizhanyo, Sandeep Neema, Feng Shi, Daniel B...
ICCS
2007
Springer
15 years 3 months ago
Adaptive Observation Strategies for Forecast Error Minimization
Abstract. Using a scenario of multiple mobile observing platforms (UAVs) measuring weather variables in distributed regions of the Pacific, we are developing algorithms that will ...
Nicholas Roy, Han-Lim Choi, Daniel Gombos, James H...
CIKM
2011
Springer
13 years 9 months ago
Toward interactive training and evaluation
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
Gregory Druck, Andrew McCallum