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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
TNN
2011
107views more  TNN 2011»
14 years 11 months ago
Iterative Gaussianization: From ICA to Random Rotations
Abstract—Most signal processing problems involve the challenging task of multidimensional probability density function (PDF) estimation. In this paper, we propose a solution to t...
Valero Laparra, Gustavo Camps-Valls, Jesus Malo
OTM
2010
Springer
15 years 2 months ago
Collaborative Coordination of Activities with Temporal Dependencies
Business process management and systems have been proven mature and highly beneficial in many domains. Recent surveys by leading market analysts say that the next challenge for BPM...
Jörn Franke, François Charoy, Paul El ...
IJCNN
2008
IEEE
15 years 10 months ago
A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
Eric Granger, Jean-François Connolly, Rober...