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2008
IEEE
15 years 7 months ago
Processing Ontology Alignments with SPARQL
Solving problems raised by heterogeneous ontologies can be achieved by matching the ontologies and processing the resulting alignments. This is typical of data mediation in which ...
Jérôme Euzenat, Axel Polleres, Fran&c...
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 6 months ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding
SOFTCOMP
2010
14 years 11 months ago
Evaluating the Low Quality Measurements in Lighting Control Systems
In real world processes in the industry or in business, where the elements involved generate data full of noise and biases, improving the energy efficiency represents one of the ma...
José Ramón Villar, Enrique A. de la ...
106
Voted
NIPS
1997
15 years 2 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
93
Voted
AUTOMATICA
2010
96views more  AUTOMATICA 2010»
15 years 25 days ago
On resampling and uncertainty estimation in Linear System Identification
Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single inputoutput data set. Here we investigate the utility of va...
Simone Garatti, Robert R. Bitmead