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Bibliographic Details
Main Authors: Beraldo, Roberto Gutierrez, Suyama, Ricardo
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2502.13976
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author Beraldo, Roberto Gutierrez
Suyama, Ricardo
author_facet Beraldo, Roberto Gutierrez
Suyama, Ricardo
contents In this book, written in Portuguese, we discuss what ill-posed problems are and how the regularization method is used to solve them. In the form of questions and answers, we reflect on the origins and future of regularization, relating the similarities and differences of its meaning in different areas, including inverse problems, statistics, machine learning, and deep learning.
format Preprint
id arxiv_https___arxiv_org_abs_2502_13976
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Regularização, aprendizagem profunda e interdisciplinaridade em problemas inversos mal-postos
Beraldo, Roberto Gutierrez
Suyama, Ricardo
Image and Video Processing
Machine Learning
47A52
In this book, written in Portuguese, we discuss what ill-posed problems are and how the regularization method is used to solve them. In the form of questions and answers, we reflect on the origins and future of regularization, relating the similarities and differences of its meaning in different areas, including inverse problems, statistics, machine learning, and deep learning.
title Regularização, aprendizagem profunda e interdisciplinaridade em problemas inversos mal-postos
topic Image and Video Processing
Machine Learning
47A52
url https://arxiv.org/abs/2502.13976