Abstract: This paper considers the problem of multi-agent distributed linear regression in the presence of system noises. In this problem, the system comprises multiple agents ... Iteratively ...

There are approximately a dozen common regression techniques. The most basic technique is called linear regression, or sometimes multiple linear regression ... trained using iterative stochastic ...

Most deep neural network training relies heavily on gradient descent, but choosing the optimal step size for an optimizer is challenging as it involves tedious and error-prone manual work. In the ...

We propose a method for estimating glacier flowlines through local linear regression gradient descent (gd-flow ... gd-flow further improves gd-flow by leveraging the accuracy of multiple window sizes.

demo.py gives you an insight to use the module LinearRegression, you can use it to make and fit your models If you are not familiar with Git and GitHub, you can simply download the zip file of the ...