Learning Real-World Problems by Finding Correlated Basis Functions
Learning algorithms based on the Fourier transform attempt to learn functions by approximating the largest coefficients of their Fourier representations. Nearly all previous work in Fourier-based learning has been in the theoretical realm, where properties of the transform have made it possible to p...
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BYU ScholarsArchive
2006
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| Online Access: | https://scholarsarchive.byu.edu/etd/399 https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1398&context=etd |