A Fast ' Monte-Carlo Cross-Validation' Procedure for Large Least Squares Problems with Noisy Data.
Numerische Mathematik (1989/90)
- Volume: 56, Issue: 1, page 1-24
- ISSN: 0029-599X; 0945-3245/e
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topGirard, Didier A.. "A Fast ' Monte-Carlo Cross-Validation' Procedure for Large Least Squares Problems with Noisy Data.." Numerische Mathematik 56.1 (1989/90): 1-24. <http://eudml.org/doc/133381>.
@article{Girard1989/90,
author = {Girard, Didier A.},
journal = {Numerische Mathematik},
keywords = {Monte-Carlo cross-validation; large least squares problems; noisy data; Monte-Carlo algorithm; regularization; data smoothing; numerical simulations; optimal spline smoothing},
number = {1},
pages = {1-24},
title = {A Fast ' Monte-Carlo Cross-Validation' Procedure for Large Least Squares Problems with Noisy Data.},
url = {http://eudml.org/doc/133381},
volume = {56},
year = {1989/90},
}
TY - JOUR
AU - Girard, Didier A.
TI - A Fast ' Monte-Carlo Cross-Validation' Procedure for Large Least Squares Problems with Noisy Data.
JO - Numerische Mathematik
PY - 1989/90
VL - 56
IS - 1
SP - 1
EP - 24
KW - Monte-Carlo cross-validation; large least squares problems; noisy data; Monte-Carlo algorithm; regularization; data smoothing; numerical simulations; optimal spline smoothing
UR - http://eudml.org/doc/133381
ER -
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