Local greedy approximation for nonlinear regression and neural network training
Jones, L. K.
Ann. Statist., Tome 28 (2000) no. 3, p. 1379-1389 / Harvested from Project Euclid
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A criterion for local estimation and approximation in nonlinear regres- sion and neural network training is introduced and motivated. $N$th-order greedy approximation for the regression (or target) function based on the criterion is shown to converge at rate $O(1/N^{1/2})$ in the nonsampling case.
Publié le : 2000-10-14
Classification:  Greedy approximation,  local training,  62H99 
@article{1015957398,
     author = {Jones, L. K.},
     title = {Local greedy approximation for nonlinear regression and neural
			 network training},
     journal = {Ann. Statist.},
     volume = {28},
     number = {3},
     year = {2000},
     pages = { 1379-1389},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1015957398}
}

Jones, L. K. Local greedy approximation for nonlinear regression and neural
			 network training. Ann. Statist., Tome 28 (2000) no. 3, pp.  1379-1389. http://gdmltest.u-ga.fr/item/1015957398/