Title :
The Rate of Convergence of an Algorithm for Recovering Functions from Noisy Measurements Taken at Randomly Selected Points
Author :
Wagner, Terry J.
Author_Institution :
University of Texas, Austin, Tex.
fDate :
7/1/1968 12:00:00 AM
Abstract :
A simple criterion is derived for upper-bounding the rate of convergence of a least-square-fit algorithm used for recovering functions from noisy measurements taken at randomly selected points.
Keywords :
Adaptive control; Character recognition; Convergence; Cybernetics; Digital control; Dynamic programming; Information theory; Machine learning; Statistical analysis; Statistics;
Journal_Title :
Systems Science and Cybernetics, IEEE Transactions on
DOI :
10.1109/TSSC.1968.300142
