Sciweavers

413 search results - page 43 / 83
» Teaching Regression with Simulation
Sort
View
NN
2000
Springer
165views Neural Networks» more  NN 2000»
13 years 10 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
KBS
2011
116views more  KBS 2011»
13 years 5 months ago
Advanced empirical testing
In today’s industrial applications, we see that knowledge systems are successfully implemented. However, critical domains require the elaborate and thoughtful validation of the ...
Joachim Baumeister
JMLR
2010
191views more  JMLR 2010»
13 years 4 months ago
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
Michael Gutmann, Aapo Hyvärinen
JMLR
2010
126views more  JMLR 2010»
13 years 4 months ago
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach
We propose a novel application of the Simultaneous Orthogonal Matching Pursuit (SOMP) procedure to perform variable selection in ultra-high dimensional multiple output regression ...
Mladen Kolar, Eric P. Xing
WSC
2008
14 years 12 days ago
An efficient Ranking and Selection procedure for a linear transient mean performance measure
We develop a Ranking and Selection procedure for selecting the best configuration based on a transient mean performance measure. The procedure extends the OCBA approach to systems...
Douglas J. Morrice, Mark W. Brantley, Chun-Hung Ch...