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ECIS
2000
15 years 8 months ago
Different Pre-Processing Models for Financial Accounts when using Neural Networks for Auditing
The aim of this study is to investigate the impact of various pre-processing models on the forecast capability of artificial neural network (ANN) when auditing financial accounts. ...
Eija Koskivaara
PRL
2006
98views more  PRL 2006»
15 years 6 months ago
Data complexity assessment in undersampled classification of high-dimensional biomedical data
Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...
Richard Baumgartner, Ray L. Somorjai
NN
2000
Springer
165views Neural Networks» more  NN 2000»
15 years 6 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
CVPR
2008
IEEE
16 years 8 months ago
Conjugate rotation: Parameterization and estimation from an affine feature correspondence
When rotating a pinhole camera, images are related by the infinite homography KRK-1 , which is algebraically a conjugate rotation. Although being a very common image transformatio...
Christian Beder, Kevin Köser, Reinhard Koch
CDC
2008
IEEE
150views Control Systems» more  CDC 2008»
16 years 1 months ago
Riccati conditioning and sensitivity for a MinMax controlled cable-mass system
— In this paper we study the relationship between the parameter θ, used in the design of the MinMax controller, and the conditioning of the approximate algebraic Riccati equatio...
Lizette Zietsman, Katie A. Evans, J. Teye Brown, R...