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» Statistical Analysis of Semi-Supervised Regression
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ASPDAC
2007
ACM
144views Hardware» more  ASPDAC 2007»
13 years 11 months ago
Parameter Reduction for Variability Analysis by Slice Inverse Regression (SIR) Method
With semiconductor fabrication technologies scaled below 100 nm, the design-manufacturing interface becomes more and more complicated. The resultant process variability causes a nu...
Alexander V. Mitev, Michael Marefat, Dongsheng Ma,...
EUSFLAT
2001
131views Fuzzy Logic» more  EUSFLAT 2001»
13 years 8 months ago
Fuzzy-statistics with vague concepts
The aim of this paper is to give a.sketch of a foundation of statistical analysis with fuzzy data, extending the methodology of Mathematical Stat,istics. For t.hispurpose it will ...
Volker Krätschmer
ICDM
2007
IEEE
104views Data Mining» more  ICDM 2007»
14 years 1 months ago
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases
Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining algorithms while maintaining privacy. Statistical disclosure limitation (SDL) techniques a...
Aleksandra B. Slavkovic, Yuval Nardi, Matthew M. T...
ICDAR
2005
IEEE
14 years 1 months ago
A Statistical Learning Approach To Document Image Analysis
In the field of computer analysis of document images, the problems of physical and logical layout analysis have been approached through a variety of heuristic, rule-based, and gr...
Kevin Laven, Scott Leishman, Sam T. Roweis
ICPR
2008
IEEE
14 years 1 months ago
Adaptive Laplacian eigenfunctions as bases for regression analysis
Regression or least squares fitting is an important problem in statistics, data mining and many other applications. In recent years, basis functions derived from the underlying g...
Lei Ding, Xiaole Bai