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ACMSE
2005
ACM
16 years 2 days ago
A metaprogramming approach to generating optimized code for algorithms in linear algebra
an extended abstract for a poster that presents a new approach that employs metaprogramming to generate optimized code for algorithms in Linear Algebra. Categories and Subject Des...
Najaf A. Shah, Anthony Skjellum
AAAI
2006
15 years 8 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran
SIAMMA
2011
97views more  SIAMMA 2011»
14 years 9 months ago
Convergence Rates for Greedy Algorithms in Reduced Basis Methods
The reduced basis method was introduced for the accurate online evaluation of solutions to a parameter dependent family of elliptic partial differential equations. ly, it can be ...
Peter Binev, Albert Cohen, Wolfgang Dahmen, Ronald...
BMCBI
2011
15 years 1 months ago
Comparing genotyping algorithms for Illumina's Infinium whole-genome SNP BeadChips
Background: Illumina’s Infinium SNP BeadChips are extensively used in both small and large-scale genetic studies. A fundamental step in any analysis is the processing of raw all...
Matthew E. Ritchie, Ruijie Liu, Benilton Carvalho,...
NIPS
2007
15 years 8 months ago
Topmoumoute Online Natural Gradient Algorithm
Guided by the goal of obtaining an optimization algorithm that is both fast and yields good generalization, we study the descent direction maximizing the decrease in generalizatio...
Nicolas Le Roux, Pierre-Antoine Manzagol, Yoshua B...