Regularization Theory for Ill-posed Problems
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By DE GRUYTER

9783110286496

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Bibliography

Regularization Theory for Ill-posed Problems ◽

10.1515/9783110286496.277 ◽

2013 ◽

Download Full-text

Chapter 5. Meta-learning approach to regularization – case study: blood glucose prediction

Regularization Theory for Ill-posed Problems ◽

10.1515/9783110286496.255 ◽

2013 ◽

Keyword(s):

Blood Glucose ◽

Learning Approach ◽

Meta Learning ◽

Glucose Prediction

Download Full-text

Chapter 3. Multiparameter regularization

Regularization Theory for Ill-posed Problems ◽

10.1515/9783110286496.163 ◽

2013 ◽

Download Full-text

Frontmatter

Regularization Theory for Ill-posed Problems ◽

10.1515/9783110286496.fm ◽

2013 ◽

Download Full-text

Chapter 1. An introduction using classical examples

Regularization Theory for Ill-posed Problems ◽

10.1515/9783110286496.1 ◽

2013 ◽

pp. 1-46

Download Full-text

Preface

Regularization Theory for Ill-posed Problems ◽

10.1515/9783110286496.vii ◽

2013 ◽

Download Full-text

Regularization Theory for Ill-posed Problems ◽

10.1515/9783110286496.toc ◽

2013 ◽

Download Full-text

Index

Regularization Theory for Ill-posed Problems ◽

10.1515/9783110286496.289 ◽

2013 ◽

Download Full-text

Chapter 2. Basics of single parameter regularization schemes

Regularization Theory for Ill-posed Problems ◽

10.1515/9783110286496.47 ◽

2013 ◽

Keyword(s):

Single Parameter ◽

Parameter Regularization

Download Full-text

Chapter 4. Regularization algorithms in learning theory

Regularization Theory for Ill-posed Problems ◽

10.1515/9783110286496.203 ◽

2013 ◽

Keyword(s):

Learning Theory

Download Full-text

Regularization Theory for Ill-posed Problems
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By DE GRUYTER

Bibliography

Chapter 5. Meta-learning approach to regularization – case study: blood glucose prediction

Chapter 3. Multiparameter regularization

Frontmatter

Chapter 1. An introduction using classical examples

Preface

Contents

Index

Chapter 2. Basics of single parameter regularization schemes

Chapter 4. Regularization algorithms in learning theory

Export Citation Format

Regularization Theory for Ill-posed ProblemsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By DE GRUYTER

Bibliography

Chapter 5. Meta-learning approach to regularization – case study: blood glucose prediction

Chapter 3. Multiparameter regularization

Frontmatter

Chapter 1. An introduction using classical examples

Preface

Contents

Index

Chapter 2. Basics of single parameter regularization schemes

Chapter 4. Regularization algorithms in learning theory

Regularization Theory for Ill-posed Problems
Latest Publications