Sparse Modeling
eBook - PDF

Sparse Modeling

Theory, Algorithms, and Applications

  1. 253 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Sparse Modeling

Theory, Algorithms, and Applications

Book details
Table of contents
Citations

About This Book

Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing.Sparse Modeling: Theory, Algorithms, and Applications provides an introduction t

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Yes, you can access Sparse Modeling by Irina Rish, Genady Grabarnik in PDF and/or ePUB format, as well as other popular books in Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2014
ISBN
9781439828700
Edition
1
Topic
Economics
Subtopic
Statistics for Business & Economics
Index
Economics

Table of contents

  1. Cover
  2. Contents
  3. List of Figures
  4. Preface
  5. Chapter 1: Introduction
  6. Chapter 2: Sparse Recovery: Problem Formulations
  7. Chapter 3: Theoretical Results (Deterministic Part)
  8. Chapter 4: Theoretical Results (Probabilistic Part)
  9. Chapter 5: Algorithms for Sparse Recovery Problems
  10. Chapter 6: Beyond LASSO: Structured Sparsity
  11. Chapter 7: Beyond LASSO: Other Loss Functions
  12. Chapter 8: Sparse Graphical Models
  13. Chapter 9: Sparse Matrix Factorization: Dictionary Learning and Beyond
  14. Epilogue
  15. Appendix: Mathematical Background
  16. Bibliography
  17. Color Inserts
  18. Back Cover