The course gives an overview over important models and techniques for regression analysis outside standard linear regression. In particular, the students will learn how to extend the linear model for ...
Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...
Abstract: This paper investigates optimal tracking control of linear stochastic systems with multiplicative state-dependent and input-dependent noise via a novel model-free integral reinforcement ...
Developing a linear TV app can be complex due to compatibility requirements and the need to deliver content in real-time. However, VPlayed’s hiring model simplifies this process, allowing you to ...