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Sparse Modeling [electronic resource]: Theory, Algorithms, and Applications

Irina Rish, IBM, Yorktown Heights, New York, USA, Genady Ya. Grabarnik, St. John's University, Queens, New York, USA
Format
EBook; Book; Online
Published
Boca Raton, FL : CRC Press, Taylor & Francis Group, [2015]
Language
English
Series
Chapman & Hall/CRC Machine Learning & Pattern Recognition Series
ISBN
9781439828694 (Hardback), 1439828695 (Hardback)
Contents
  • 1. Introduction
  • 2. Sparse recovery : problem formulations
  • 3. Theoretical results (deterministic part)
  • 4. Theoretical results (probabilistic part)
  • 5. Algorithms for sparse recovery problems
  • 6. Beyond LASSO : structured sparsity
  • 7. Beyond LASSO : other loss functions
  • 8. Sparse graphical models
  • 9. Sparse matrix factorization : dictionary learning and beyond.
Description
Mode of access: World wide Web.
Notes
  • "A Chapman & Hall book."
  • Includes bibliographical references (pages 203-226) and index.
Copyright Not EvaluatedCopyright Not Evaluated
Technical Details
  • Access in Virgo Classic
  • Staff View

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