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BMCBI
2010
143views more  BMCBI 2010»
15 years 6 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
TOG
2008
239views more  TOG 2008»
15 years 6 months ago
Skeleton extraction by mesh contraction
eleton is a very useful 1D structure to abstract the geometry and topology of a 3D object. Extraction of curve-skeletons is a fundamental problem in computer graphics, visualizatio...
Oscar Kin-Chung Au, Chiew-Lan Tai, Hung-Kuo Chu, D...
NIPS
2000
15 years 8 months ago
The Use of MDL to Select among Computational Models of Cognition
How should we decide among competing explanations of a cognitive process given limited observations? The problem of model selection is at the heart of progress in cognitive scienc...
In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Ba...
MODELS
2009
Springer
16 years 1 months ago
Limitations of Automating Model Migration in Response to Metamodel Adaptation
In consequence of changing requirements and technological progress, modeling languages are subject to change. When their metamodels are adapted to reflect those changes, existing ...
Markus Herrmannsdoerfer, Daniel Ratiu
BMCBI
2008
139views more  BMCBI 2008»
15 years 6 months ago
The C1C2: A framework for simultaneous model selection and assessment
Background: There has been recent concern regarding the inability of predictive modeling approaches to generalize to new data. Some of the problems can be attributed to improper m...
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg