554 search results - page 38 / 111 » Variable selection using neural-network models |
IPC
2007
IEEE
15 years 4 months ago
2007
IEEE
Current context-aware adaptation techniques are limited in their support for user personalisation. Complex codebases, a reliance on developer modification and an inability to auto...
101
click to vote
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
— Probabilistic models were developed to provide predictive distributions of daily maximum surface level ozone concentrations. Five forecast models were compared at two stations ...
UAI
2008
14 years 11 months ago
2008
Assume that cause-effect relationships between variables can be described as a directed acyclic graph and the corresponding linear structural equation model We consider the identi...
81
Voted
CORR
2007
Springer
14 years 9 months ago
2007
Springer
The large number of spectral variables in most data sets encountered in spectral chemometrics often renders the prediction of a dependent variable uneasy. The number of variables ...