Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

ABSTRACT. Nonlinear regression models represent an alternative way to describe plant growth. In this study, we aimed to model the growth of linseed using four methods for data collection (longitudinal ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

The implementation of the nonlinear regression (NLR) model using MATLAB is depicted in Figure 2. The methodology employed in this study to establish the initial values of the nonlinear regression ...

Nonlinear regression has been extensively employed in many computer vision problems (e.g., crowd counting, age estimation, affective computing). Under the umbrella of deep learning, two common ...

lsqcurvefit_approx Fits linear and polynomial models to data using linear least squares and approximates nonlinear models through linearization.

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Examination using the held-out data indicated that all models had robust predictive precision and provided significantly better estimations than a linear regression model using single electrode EEG ...

ABSTRACT: Enzyme kinetic parameters have been estimated using MATLAB software via the Wilkinson non-linear regression technique. The MATLAB script file written to implement this technique is short and ...