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» Learning Evaluation Functions for Large Acyclic Domains
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ICMLA
2008
13 years 10 months ago
Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
Cecilia Sönströd, Ulf Johansson, Ulf Nor...
PRL
2008
246views more  PRL 2008»
13 years 8 months ago
Automatic medical image annotation in ImageCLEF 2007: Overview, results, and discussion
In this paper, the automatic medical annotation task of the 2007 CLEF cross-language image retrieval campaign (ImageCLEF) is described. The paper focusses on the images used, the ...
Thomas Deselaers, Thomas Martin Deserno, Henning M...
IFIP
2009
Springer
14 years 1 months ago
Reference Model for Performance Management in Service-Oriented Virtual Organization Breeding Environments
Performance management (PM) is a key function of virtual organization (VO) management. A large set of PM indicators has been proposed and evaluated within the context of virtual br...
Zbigniew Paszkiewicz, Willy Picard
VLDB
2002
ACM
110views Database» more  VLDB 2002»
13 years 8 months ago
Eliminating Fuzzy Duplicates in Data Warehouses
The duplicate elimination problem of detecting multiple tuples, which describe the same real world entity, is an important data cleaning problem. Previous domain independent solut...
Rohit Ananthakrishna, Surajit Chaudhuri, Venkatesh...
BMCBI
2011
13 years 3 months ago
Learning genetic epistasis using Bayesian network scoring criteria
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
Xia Jiang, Richard E. Neapolitan, M. Michael Barma...