This project provides a basic implementation of a decision tree and tree-based ensemble learning algorithms like random forest and gradient boosting machines from scratch, aimed at helping developers ...

In this example, we illustrate how the cross-subject correlations between weighted degree and average controllability, as well as between weighted degree and modal controllability, vary as a function ...

Daniely and Schacham recently showed that gradient descent finds adversarial examples on random undercomplete two-layers ReLU neural networks. The term “undercomplete” refers to the fact that their ...

Abstract: Conventional loss functions for gradient descent are designed mainly to assess output quality, with limited attention to gradient behavior. This study identifies the gradient inconsistency ...