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» Using Probabilistic Information in Data Integration
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ICPR
2008
IEEE
14 years 10 months ago
Weakly supervised learning using proportion-based information: An application to fisheries acoustics
This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
Carla Scalarin, Jacques Masse, Jean-Marc Boucher, ...
CIRA
2007
IEEE
152views Robotics» more  CIRA 2007»
14 years 3 months ago
Probabilistic Semantic Mapping with a Virtual Sensor for Building/Nature detection
Abstract— In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We believe that access to semantic maps will make it poss...
Martin Persson, Tom Duckett, Christoffer Valgren, ...
ER
2006
Springer
89views Database» more  ER 2006»
14 years 20 days ago
A UML Profile for Modeling Schema Mappings
When trying to obtain semantical interoperability between different information systems, the integration of heterogeneous information sources is a fundamental task. An important st...
Stefan Kurz, Michael Guppenberger, Burkhard Freita...
JBI
2008
13 years 9 months ago
The Field Representation Language
The complexity of quantitative biomedical models, and the rate at which they are published, is increasing to a point where managing the information has become all but impossible w...
Guy Tsafnat
BMCBI
2010
126views more  BMCBI 2010»
13 years 6 months ago
Systematic integration of experimental data and models in systems biology
Background: The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction ...
Peter Li, Joseph O. Dada, Daniel Jameson, Irena Sp...