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CORR
2008
Springer
84views Education» more  CORR 2008»
8 years 3 months ago
Efficiently Testing Sparse GF(2) Polynomials
We give the first algorithm that is both query-efficient and time-efficient for testing whether an unknown function f : {0, 1}n {-1, 1} is an s-sparse GF(2) polynomial versus -far ...
Ilias Diakonikolas, Homin K. Lee, Kevin Matulef, R...
ESANN
1998
8 years 4 months ago
Wavelet interpolation networks
We describe a new approach to real time learning of unknown functions based on an interpolating wavelet estimation. We choose a subfamily of a wavelet basis relying on nested hiera...
Christophe P. Bernard, Stéphane Mallat, Jea...
GECCO
2000
Springer
123views Optimization» more  GECCO 2000»
8 years 7 months ago
Genomic computing: explanatory modelling for functional genomics
Many newly discovered genes are of unknown function. DNA microarrays are a method for determining the expression levels of all genes in an organism for which a complete genome seq...
Richard J. Gilbert, Jem J. Rowland, Douglas B. Kel...
CISIS
2008
IEEE
8 years 10 months ago
Inferring the Function of Genes from Synthetic Lethal Mutations
—Techniques for detecting synthetic lethal mutations in double gene deletion experiments are emerging as powerful tool for analysing genes in parallel or overlapping pathways wit...
Oliver Ray, Christopher H. Bryant
ICML
2005
IEEE
9 years 4 months ago
A practical generalization of Fourier-based learning
This paper presents a search algorithm for finding functions that are highly correlated with an arbitrary set of data. The functions found by the search can be used to approximate...
Adam Drake, Dan Ventura
ICIP
2005
IEEE
9 years 5 months ago
Beyond interpolation: optimal reconstruction by quasi-interpolation
We investigate the use of quasi-interpolating approximation schemes, to construct an estimate of an unknown function from its given discrete samples. We show theoretically and wit...
Laurent Condat, Thierry Blu, Michael Unser
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