This is a preview. Log in through your library . Abstract A wide range of empirical applications rely on linear approximations to dynamic Euler equations. Among the most notable of these is the large ...

If you are new to scikit-learn and regression analysis, this tutorial will help you learn by implementing simple linear regression models. For those who want to delve deeper, follow the upcoming ...

Abstract: The robustness of convolutional neural networks (CNNs) is vital to modern AI-driven systems. It can be quanti-fied by formal verification by providing a certified lower bound, within which ...

Abstract: In this paper, we analyze the convergence properties of Q-learning using linear function approximation. This algorithm can be seen as an extension to stochastic control settings of ...

This paper offers a qualitative theoretical analysis of the error that may arise when a linear programming calculation is used to solve a problem involving some ...