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» Transformations for semi-continuous data
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ADBIS
2007
Springer
125views Database» more  ADBIS 2007»
15 years 6 months ago
Towards Self-Optimization of Message Transformation Processes
The Message Transformation Model (MTM), for modeling complex message transformation processes in data centric application scenarios, provides strong capabilities for describing the...
Matthias Böhm, Dirk Habich, Uwe Wloka, Jü...
ACL
1997
15 years 1 months ago
String Transformation Learning
String transformation systems have been introduced in (Brill, 1995) and have several applications in natural language processing. In this work we consider the computational proble...
Giorgio Satta, John C. Henderson
ICIP
2009
IEEE
16 years 28 days ago
Weighted Average Denoising With Sparse Orthonormal Transforms
Sparse Orthonormal Transforms (SOT) has recently been proposed as a data compression method that can achieve sparser representations in transform domain. Given initial conditions,...
FLAIRS
1998
15 years 1 months ago
Lazy Transformation-Based Learning
Weintroduce a significant improvementfor a relatively newmachine learning methodcalled Transformation-Based Learning. By applying a MonteCarlo strategy to randomly sample from the...
Ken Samuel
ESWS
2009
Springer
15 years 6 months ago
Representing, Querying and Transforming Social Networks with RDF/SPARQL
As social networks are becoming ubiquitous on the Web, the Semantic Web goals indicate that it is critical to have a standard model allowing exchange, interoperability, transformat...
Mauro San Martín, Claudio Gutierrez