Linear regression is a widely used technique for predictive modeling in artificial intelligence (AI), but it has some limitations and assumptions that may not suit every problem.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

We propose Gaussian processes for regression (GPR) as a novel nonlinear equalizer for digital communications receivers. GPR's main advantage, compared to previous nonlinear estimation approaches, lies ...

Hydroelectric power generation, water supplies for municipal, agricultural, manufacturing, and service industry uses including technology-sector requirements, dam safety, flood control, recreational ...

The present work provides a methodology to form surrogates for kerosene fuels used in aero-engine combustors, with a special focus on the emulation of sooting tendency. A nonlinear regression method ...

CW Code and Dataset for SMDS module at Coventry University. Applied Nonlinear Regression and Bayesian Inference techniques to analyze MEG brain responses from a simulated neuromarketing experiment.

text-to-speech neural-network linear-regression machine-learning-algorithms audiobook logistic-regression gradient-descent decision-tree decision-tree-algorithm multivariate-linear-regression ...