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» Approximate algorithms for neural-Bayesian approaches
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TMI
2002
115views more  TMI 2002»
14 years 9 months ago
Discretization of the Radon transform and of its inverse by spline convolutions
Abstract--We present an explicit formula for B-spline convolution kernels; these are defined as the convolution of several B-splines of variable widths and degrees . We apply our r...
Stefan Horbelt, Michael Liebling, Michael Unser
INFOCOM
2010
IEEE
14 years 8 months ago
Reliability in Layered Networks with Random Link Failures
—We consider network reliability in layered networks where the lower layer experiences random link failures. In layered networks, each failure at the lower layer may lead to mult...
Kayi Lee, Hyang-Won Lee, Eytan Modiano
ICDE
2007
IEEE
162views Database» more  ICDE 2007»
15 years 11 months ago
On Density Based Transforms for Uncertain Data Mining
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...
Charu C. Aggarwal
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
15 years 10 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
SIGMOD
2008
ACM
164views Database» more  SIGMOD 2008»
15 years 10 months ago
Finding frequent items in probabilistic data
Computing statistical information on probabilistic data has attracted a lot of attention recently, as the data generated from a wide range of data sources are inherently fuzzy or ...
Qin Zhang, Feifei Li, Ke Yi