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GECCO
2004
Springer
15 years 3 months ago
Multi-branches Genetic Programming as a Tool for Function Approximation
This work presents a performance analysis of a Multi-Branches Genetic Programming (MBGP) approach applied in symbolic regression (e.g. function approximation) problems. Genetic Pro...
Katya Rodríguez-Vázquez, Carlos Oliv...
UAI
2008
14 years 11 months ago
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
Richard S. Sutton, Csaba Szepesvári, Alborz...
SIGGRAPH
1997
ACM
15 years 1 months ago
Non-linear approximation of reflectance functions
We introduce a new class of primitive functions with non-linear parameters for representing light reflectance functions. The functions are reciprocal, energy-conserving and expres...
Eric P. Lafortune, Sing-Choong Foo, Kenneth E. Tor...
ADCM
1999
64views more  ADCM 1999»
14 years 9 months ago
Approximation properties of zonal function networks using scattered data on the sphere
A zonal function (ZF) network is a function of the form x n k=1 ck(x
Hrushikesh Narhar Mhaskar, Francis J. Narcowich, J...
ISSAC
2007
Springer
153views Mathematics» more  ISSAC 2007»
15 years 3 months ago
On exact and approximate interpolation of sparse rational functions
The black box algorithm for separating the numerator from the denominator of a multivariate rational function can be combined with sparse multivariate polynomial interpolation alg...
Erich Kaltofen, Zhengfeng Yang