We propose a new linearization point selection method based on a global maximum error controller for the trajectory piecewise-linear (TPWL) model order reductio ...

NOTA TÉCNICA. Least squares regression with errors in both variables: case studies. Elcio Cruz de OliveiraI, *, #; Paula Fernandes de Aguiar II I Petrobras Transporte S.A., Avenida Presidente Vargas, ...

Hence, in this work, we evaluate the MMSE of linear dynamic systems with GM noise statistics and propose its analytic lower and upper bounds. We provide two analytic upper bounds which are the ...

GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.

And not just using the linear least squares fit procedure, assuming that the calibration is properly performed by calculating the correlation coefficient R when this figure is close to 1 or +1.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...