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» Algorithms for Index-Assisted Selectivity Estimation
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ECCV
2006
Springer
16 years 2 months ago
Density Estimation Using Mixtures of Mixtures of Gaussians
In this paper we present a new density estimation algorithm using mixtures of mixtures of Gaussians. The new algorithm overcomes the limitations of the popular Expectation Maximiza...
Wael Abd-Almageed, Larry S. Davis
CAISE
2006
Springer
15 years 4 months ago
A Non-Linear Cost Model for Multi-Node OLAP Systems
Answering performance to business queries, mainly of aggregated nature, known as On-Line Analytical Processing queries, depends heavily on the proper selection of multidimensional ...
Jorge Loureiro, Orlando Belo
ICASSP
2010
IEEE
15 years 21 days ago
Distributed Lasso for in-network linear regression
The least-absolute shrinkage and selection operator (Lasso) is a popular tool for joint estimation and continuous variable selection, especially well-suited for the under-determin...
Juan Andrés Bazerque, Gonzalo Mateos, Georg...
107
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SEMWEB
2010
Springer
14 years 10 months ago
Using Reformulation Trees to Optimize Queries over Distributed Heterogeneous Sources
Abstract. In order to effectively and quickly answer queries in environments with distributed RDF/OWL, we present a query optimization algorithm to identify the potentially relevan...
Yingjie Li, Jeff Heflin
121
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WSC
2007
15 years 2 months ago
New greedy myopic and existing asymptotic sequential selection procedures: preliminary empirical results
Statistical selection procedures can identify the best of a finite set of alternatives, where “best” is defined in terms of the unknown expected value of each alternative’...
Stephen E. Chick, Jürgen Branke, Christian Sc...