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MFCS
2005
Springer
16 years 9 hour ago
Tight Approximability Results for the Maximum Solution Equation Problem over Zp
In the maximum solution equation problem a collection of equations are given over some algebraic structure. The objective is to find an assignment to the variables in the equation...
Fredrik Kuivinen
IWANN
2009
Springer
15 years 11 months ago
Lower Bounds for Approximation of Some Classes of Lebesgue Measurable Functions by Sigmoidal Neural Networks
We propose a general method for estimating the distance between a compact subspace K of the space L1 ([0, 1]s ) of Lebesgue measurable functions defined on the hypercube [0, 1]s ,...
José Luis Montaña, Cruz E. Borges
AGP
1995
IEEE
15 years 10 months ago
Domain Independent Ask Approximation in CCP
The main difficulty in the formalization of a static analysis framework for CC programs is probably related to the correct approximation of the entailment relation between constrai...
Enea Zaffanella
ESANN
2003
15 years 8 months ago
Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
Jianyu Li, Siwei Luo, Yingjian Qi
TCS
2008
15 years 6 months ago
Generalized approximate counting revisited
A large class of q-distributions is defined on the stochastic model of Bernoulli trials in which the probability of success (=advancing to the next level) depends geometrically on...
Guy Louchard, Helmut Prodinger