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SBBD
2007
148views Database» more  SBBD 2007»
15 years 8 months ago
Bulk-loading Dynamic Metric Access Methods
The main contribution of this paper is a bulk-loading algorithm for multi-way dynamic metric access methods based on the covering radius of a representative, like the Slim-tree. Th...
Thiago Galbiatti Vespa, Caetano Traina Jr., Agma J...
WSC
2004
15 years 8 months ago
Quasi-Monte Carlo Methods in Finance
We review the basic principles of Quasi-Monte Carlo (QMC) methods, the randomizations that turn them into variancereduction techniques, and the main classes of constructions under...
Pierre L'Ecuyer
ISIWI
2000
15 years 8 months ago
Automatic Document Classification - A thorough Evaluation of various Methods
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
Christoph Goller, J. Löning, T. Will, W. Wolf...
ICPR
2010
IEEE
15 years 6 months ago
The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround
Abstract—We point out a problem inherent in the optimization scheme of many popular feature selection methods. It follows from the implicit assumption that higher feature selecti...
Petr Somol, Jiri Grim, Pavel Pudil
JSCIC
2008
71views more  JSCIC 2008»
15 years 6 months ago
Numerical and Statistical Methods for the Coarse-Graining of Many-Particle Stochastic Systems
In this article we discuss recent work on coarse-graining methods for microscopic stochastic lattice systems. We emphasize the numerical analysis of the schemes, focusing on error ...
Markos A. Katsoulakis, Petr Plechác, Luc Re...