Irina Rish, Genady Grabarnik

Sparse Modeling

Theory, Algorithms, and Applications

• Gebundenes Buch

Produktbeschreibung

Sparse modeling is an important issue in many applications of machine learning and statistics where the main objective is discovering predictive patterns in data to enhance understanding of underlying physical, biological, and other natural processes. This book surveys recent advances in statistics, machine learning, and signal processing related to sparse modeling. It provides a comprehensive introduction to recent developments in sparse modeling research, including the theoretical basis for sparse modeling, algorithmic approaches, and applications to computational biology, medicine, neuroscience, graphical model selection, and compressed sensing.

Produktdetails

• Verlag: CRC Press
• 1. Auflage
• Seitenzahl: 254
• Erscheinungstermin: 4. Dezember 2014
• Englisch
• Abmessung: 236mm x 155mm x 18mm
• Gewicht: 499g
• ISBN-13: 9781439828694
• ISBN-10: 1439828695
• Artikelnr.: 29378040

Autorenporträt

Irina Rish, Genady Grabarnik

Inhaltsangabe

Introduction. Sparse Recovery: Problem Formulations. Theoretical Results
(Deterministic Part). Theoretical Results (Probabilistic Part). Algorithms
for Sparse Recovery Problems. Beyond LASSO: Structured Sparsity. Beyond
LASSO: Other Loss Functions. Sparse Graphical Models. Sparse Matrix
Factorization: Dictionary Learning and Beyond. Epilogue. Appendix.
Bibliography. Index.