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BMCBI
2008
186views more  BMCBI 2008»
15 years 1 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
CIKM
2010
Springer
14 years 11 months ago
Automatic schema merging using mapping constraints among incomplete sources
Schema merging is the process of consolidating multiple schemas into a unified view. The task becomes particularly challenging when the schemas are highly heterogeneous and autono...
Xiang Li 0002, Christoph Quix, David Kensche, Sand...
CIKM
2003
Springer
15 years 6 months ago
Learning cross-document structural relationships using boosting
Zhu Zhang, Jahna Otterbacher, Dragomir R. Radev
124
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MIRAGE
2007
Springer
15 years 7 months ago
Fitting Subdivision Surface Models to Noisy and Incomplete 3-D Data
Abstract. We describe an algorithm for fitting a Catmull-Clark subdivision surface model to an unstructured, incomplete and noisy data set. We complete the large missing data regi...
Spela Ivekovic, Emanuele Trucco