Jacobian Conditioning Analysis for Model Validation

Jacobian Conditioning Analysis for Model Validation

Our aim is to stress the importance of Jacobian matrix conditioning for model validation. We also comment on Monari and Dreyfus (2002), where, following Rivals and Personnaz (2000), it is proposed to discard neural candidates that are likely to overfit and/or for which quantities of interest such as confidence intervals cannot be computed accurately. In Rivals and Personnaz (2000), we argued th...

Reply to the Comments on "Local Overfitting Control via Leverages" in "Jacobian Conditioning Analysis for Model Validation" by I. Rivals and L. Personnaz

"Jacobian Conditioning Analysis for Model Validation" by Rivals and Personnaz in this issue is a comment on Monari and Dreyfus (2002). In this reply, we disprove their claims. We point to flawed reasoning in the theoretical comments and to errors and inconsistencies in the numerical examples. Our replies are substantiated by seven counterexamples, inspired by actual data, which show that the co...

Mathematical Modeling for Volatile Organic Compounds Removal in a Biofilter: Model Validation and Sensitivity Analysis

Inspection validation model for life-cycle analysis

Design decisions lead to future maintenance needs. In the past, these decisions were often taken implicitly. During the last decade there has been a development to make more explicit choices, based on the expected condition in time sometimes combined with life-cycle cost analysis. The inspection validation (IV) model is currently under development. This decision-support model can be used to eva...

New conditioning model for robots

We present a neural network for the prediction of rewards in a conditioning model. It is based on two noisy-or and one noisy-and nodes and update rules inspired from BANNER technique. In specific cases, we show that the computation is similar to Rescorla-Wagner's equation, which inspired many computational models in the domain of conditioning.