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SODA
2008
ACM
125views Algorithms» more  SODA 2008»
15 years 5 months ago
Ultra-low-dimensional embeddings for doubling metrics
We consider the problem of embedding a metric into low-dimensional Euclidean space. The classical theorems of Bourgain, and of Johnson and Lindenstrauss say that any metric on n p...
T.-H. Hubert Chan, Anupam Gupta, Kunal Talwar
129
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CPHYSICS
2004
87views more  CPHYSICS 2004»
15 years 3 months ago
Vlasov simulations on an adaptive phase-space grid
We introduce here a new method for the numerical resolution of the Vlasov equation on a phase space grid using an adaptive semi-Lagrangian method. The adaptivity is obtained throu...
Michael Gutnic, Matthieu Haefele, I. Paun, Eric So...
171
Voted
SIAMREV
2010
132views more  SIAMREV 2010»
14 years 10 months ago
A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data
In this paper we propose and analyze a Stochastic-Collocation method to solve elliptic Partial Differential Equations with random coefficients and forcing terms (input data of the...
Ivo Babuska, Fabio Nobile, Raúl Tempone
DCC
2009
IEEE
16 years 4 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
IQ
2007
15 years 5 months ago
In Search Of An Accuracy Metric
Practitioners and researchers often refer to error rates or accuracy percentages of databases. The former is the number of cells in error divided by the total number of cells; the...
Craig W. Fisher, Eitel J. M. Lauría, Caroly...