A hands-on tutorial to understand L1 (Lasso) and L2 (Ridge) regularization using Python and Scikit-learn with visual and performance comparison. This repository provides a detailed and practical ...

This repository contains all the code used for the experiments of the paper Symmetry-based Regularization in Deep Breast Cancer Screening (currently under review). To reproduce results on a different ...

Generalization and Regularization are two often terms that have the most significant role when you aim to build a robust machine learning model.

Abstract: In this work, we propose a high-order regularization method to solve the ill-conditioned problems in robot localization. Numerical solutions to robot localization problems are often unstable ...

This study presents a new and important theoretical account of spatial representational drift in the hippocampus. The evidence supporting the claims is convincing, with a clear and accessible ...

This thesis is about regularization of ultraviolet divergences appearing in the perturbative expansion of quantum field theories (QFTs). We present a general view of the ambiguities that may arise in ...

In underwater environments, the accurate estimation of state features for passive object is a critical aspect of various applications, including underwater robotics, surveillance, and environmental ...

Abstract: Due to the sparse feature enhancement only concentrating on strong scatterers of target of interest, the conventional sparsity-driven synthetic aperture radar (SAR) imagery often encounters ...