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AAAI
2011
13 years 9 months ago
Relational Blocking for Causal Discovery
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
Matthew J. Rattigan, Marc E. Maier, David Jensen
EDOC
2003
IEEE
15 years 3 months ago
Model Driven Security: Unification of Authorization Models for Fine-Grain Access Control
The research vision of the Unified Component Meta Model Framework (UniFrame) is to develop an infrastructure for components that enables a plug and play component environment wher...
Carol C. Burt, Barrett R. Bryant, Rajeev R. Raje, ...
BMCBI
2010
144views more  BMCBI 2010»
14 years 9 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
SDM
2011
SIAM
241views Data Mining» more  SDM 2011»
14 years 15 days ago
A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria
Sparse principal component analysis (PCA) imposes extra constraints or penalty terms to the standard PCA to achieve sparsity. In this paper, we first introduce an efficient algor...
Yunlong He, Renato Monteiro, Haesun Park
ICDE
2005
IEEE
106views Database» more  ICDE 2005»
15 years 3 months ago
Reconstructing XML Subtrees from Relational Storage of XML documents
Numerous researchers have proposed to use relational databases to store and query XML documents. One important component of such systems is the XML subtree reconstruction, which r...
Artem Chebotko, Dapeng Liu, Mustafa Atay, Shiyong ...