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 ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

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Abstract: Deep learning techniques face the problem of overfitting due to their complex layer structure. Regularization methods are used to overcome this problem and improve the designed models. In ...

In this paper, we describe TRIPs-Py, a new Python package of linear discrete inverse problems solvers and test problems. The goal of the package is two-fold: 1) to provide tools for solving small and ...

In the complex world of corporate governance, one concept that holds significant importance is the “Regularization of Directors” under the Companies Act, 2013. This crucial process ensures that the ...

The Windows version of the Python interpreter can be run from the command line the same way it’s run in other operating systems, by typing python or python3 at the prompt. But there’s a feature unique ...

This repository contains a Python implementation of linear regression, logistic regression, and ridge regression algorithms. These algorithms are commonly used in machine learning and statistical ...