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TIT
2008
74views more  TIT 2008»
13 years 5 months ago
Modular Representations of Polynomials: Hyperdense Coding and Fast Matrix Multiplication
A certain modular representation of multilinear polynomials is considered. The modulo 6 representation of polynomial f is just any polynomial f + 6g. The 1-a-strong representation ...
Vince Grolmusz
JAT
2010
85views more  JAT 2010»
13 years 4 months ago
Asymptotics for Jacobi-Sobolev orthogonal polynomials associated with non-coherent pairs of measures
Abstract: Inner products of the type f, g S = f, g ψ0 + f , g ψ1 , where one of the measures ψ0 or ψ1 is the measure associated with the Jacobi polynomials, are usually referre...
Eliana X. L. de Andrade, Cleonice F. Bracciali, La...
COLT
2008
Springer
13 years 7 months ago
Polynomial Regression under Arbitrary Product Distributions
In recent work, Kalai, Klivans, Mansour, and Servedio [KKMS05] studied a variant of the "Low-Degree (Fourier) Algorithm" for learning under the uniform probability distr...
Eric Blais, Ryan O'Donnell, Karl Wimmer
GLVLSI
2003
IEEE
219views VLSI» more  GLVLSI 2003»
13 years 11 months ago
Buffer sizing for minimum energy-delay product by using an approximating polynomial
This paper first presents an accurate and efficient method of estimating the short circuit energy dissipation and the output transition time of CMOS buffers. Next the paper descri...
Chang Woo Kang, Soroush Abbaspour, Massoud Pedram
NC
1998
101views Neural Networks» more  NC 1998»
13 years 7 months ago
Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
Günther R. Raidl, Gabriele Kodydek