Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression technique, where the goal is to predict a single numeric value. Compared to ...

This paper contributes a gradient descent-based adaptive control method for uncertain dynamical systems. This method offers an alternative approach for the time-varying command following problem by ...

Researchers from King Abdullah University of Science and Technology (KAUST) and collaborators from SDAIA and the Swiss AI Lab IDSIA introduced semantic backpropagation and semantic gradient descent to ...

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques ...

To transform the model into a linear regression equation (LRE), a differential operator-based method is introduced. Then, for the estimation of the derived LRE, four online estimators including ...

This repository is a related to all about Deep Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in ...

In both sets of experiments, the 128-element linear array transducer of a portable ... stair ascent and stair descent. Joint kinematics were predicted by Gaussian process regression models trained and ...