Simon Fraser University

Solving Standard Least-Squares Problems

This section illustrates how to solve some ordinary least-squares problems and generalizations of those problems by formulating them as transformation regression problems. One problem involves finding ...
Investopedia

What Is Nonlinear Regression? Comparison to Linear Regression

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Investopedia

Nonlinear vs. Linear Regression: Key Differences Explained

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Embedded

Using nonlinear Kalman filtering to estimate signals

It appears that no particular approximate [nonlinear] filter is consistently better than any other, though . . . any nonlinear filter is better than a strictly linear one. 1 The Kalman filter is a ...
IEEE

Kernel scatter-difference based discriminant analysis for face recognition

Abstract: There are two problems with the Fisher linear discriminant analysis (FLDA) for face recognition. One is the singularity problem of the within-class scatter matrix due to small training ...