Large-scale Linear Models with TensorFlow The tf.learn API provides (among other things) a rich set of tools for working with linear models in TensorFlow. This document provides an overview of those ...

Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning I think I know this paper reasonably well. I already wrote a lot about it; click here for my details (blog ...

Linear Circuit Transfer Functions: An introduction to Fast Analytical Techniques teaches readers how to determine transfer functions of linear passive and active circuits by applying Fast Analytical ...

This paper proposes a model identification method based on reduced form linear transfer function (LTF) models that can avoid or reduce bias of transfer function weight estimates under rather practical ...

In this case linear regression appears to be a reasonable choice. There is significant noise in the data, but the underlying relationship seems mostly linear. The models for the first two graphs ...

This tutorial provides practical guidance for researchers seeking to extend DP and RL techniques to larger domains through linear value function approximation. The practical algorithms and empirical ...