We present a machine learning method based on random projections with Johnson-Lindenstrauss (JL) and/or Rahimi and Recht (2007) Random Fourier Features (RFFN) for efficiently learning linear and ...

This project implements advanced modern control techniques for a nonlinear dynamic system, based on a published research paper. The main goals of this project are: To model a nonlinear system.

Abstract: Infrared range measurement has important applications in industrial robotics and automation, but the accuracy needs to be improved in the traditional design scheme. Therefore, in this design ...

Our understanding of avian growth rates can benefit from the use of two statistical approaches that explicitly model the sources of intraspecific variation. First, random effects can evaluate whether ...

Abstract: Point cloud fitting plays an important role in various applications of laser scanning technology. Currently, the most dominant algorithms are the linear least-squares (LS) method and the ...

A nonlinear Treasury-bill rate model can be used to forecast out-of-sample interest rates. The resulting forecasts represent a genuine improvement over naive forecasts. The nonlinear model yielded ...