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NIPS
1996
15 years 7 months ago
Interpreting Images by Propagating Bayesian Beliefs
A central theme of computational vision research has been the realization that reliable estimation of local scene properties requires propagating measurements across the image. Ma...
Yair Weiss
NIPS
1992
15 years 7 months ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun
WCE
2007
15 years 7 months ago
Metaplanning Model Based in an Organizational Memory
— When problems are present in production, equipment or the process which are critical for organizations, many management personnel and experts have to meet to propose a solution...
José Bernardo Parra Victorino, Raúl ...
AE
2009
Springer
15 years 7 months ago
Artificial Evolution for 3D PET Reconstruction
This paper presents a method to take advantage of artificial evolution in positron emission tomography reconstruction. This imaging technique produces datasets that correspond to t...
Franck Patrick Vidal, Delphine Lazaro-Ponthus, Sam...
CIBCB
2009
IEEE
15 years 7 months ago
A framework for the application of decision trees to the analysis of SNPs data
Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed inte...
Linda Fiaschi, Jonathan M. Garibaldi, Natalio Kras...