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» Algorithms for Index-Assisted Selectivity Estimation
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ECCV
2006
Springer
16 years 5 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 7 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 3 months 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...
SEMWEB
2010
Springer
15 years 1 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
WSC
2007
15 years 5 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...