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» The Business Process Knowledge Framework
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CAISE
2005
Springer
15 years 10 months ago
Query Processing Using Ontologies
Abstract. Recently, the database and AI research communities have paid increased attention to ontologies. The main motivating reason is that ontologies promise solutions for comple...
Chokri Ben Necib, Johann Christoph Freytag
FCSC
2010
238views more  FCSC 2010»
15 years 2 months ago
Knowledge discovery through directed probabilistic topic models: a survey
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
JMLR
2002
115views more  JMLR 2002»
15 years 4 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
159
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CVPR
2009
IEEE
16 years 11 months ago
Multiphase Geometric Couplings for the Segmentation of Neural Processes
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
Amelio Vázquez Reina, Eric Miller, Hanspete...
232
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ICDE
2007
IEEE
207views Database» more  ICDE 2007»
16 years 6 months ago
SIGOPT: Using Schema to Optimize XML Query Processing
There has been a great deal of work in recent years on processing and optimizing queries against XML data. Typically in these previous works, schema information is not considered,...
Stelios Paparizos, Jignesh M. Patel, H. V. Jagadis...