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» Structured Learning with Approximate Inference
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ICDE
2011
IEEE
338views Database» more  ICDE 2011»
14 years 1 months ago
Outlier detection on uncertain data: Objects, instances, and inferences
—This paper studies the problem of outlier detection on uncertain data. We start with a comprehensive model considering both uncertain objects and their instances. An uncertain o...
Bin Jiang, Jian Pei
3DPVT
2006
IEEE
136views Visualization» more  3DPVT 2006»
15 years 3 months ago
Image Guided Geometry Inference
We introduce a new method for filling holes in geometry obtained from 3D range scanners. Our method makes use of 2D images of the areas where geometric data is missing. The 2D im...
Songhua Xu, Athinodoros S. Georghiades, Holly E. R...
UAI
2008
14 years 11 months ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy
79
Voted
NIPS
2001
14 years 11 months ago
Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference
Estimating insurance premia from data is a difficult regression problem for several reasons: the large number of variables, many of which are discrete, and the very peculiar shape...
Nicolas Chapados, Yoshua Bengio, Pascal Vincent, J...
DLOG
2007
15 years 19 hour ago
Speeding up Approximation with Nicer Concepts
Abstract. Concept approximation is an inference service for Description Logics that provides “translations” of concept descriptions from one DL to a less expressive DL. In [4] ...
Anni-Yasmin Turhan, Yusri Bong