TY  - BOOK
AU  - Rish, Irina
AU  - Grabarnik, Genady Ya
TI  - Sparse modeling: : Theory, algorithms, and applications
SN  - 9781439828694 
PY  - 2015///
CY  - Boca Raton
PB  - CRC Press
KW  -  Beyond LASSO
KW  -  Sparse graphical models
KW  -  Theoretical results
KW  - Sparse recovery
N1  - Epilogue 185-186p.; Appendix 187-202p.; Bibliography 203-226p.; Index 227-231p
N2  - 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 to the growing field of sparse modeling, including application examples, problem formulations that yield sparse solutions, algorithms for finding such solutions, and recent theoretical results on sparse recovery. The book gets you up to speed on the latest sparsity-related developments and will motivate you to continue learning about the field.
The authors first present motivating examples and a high-level survey of key recent developments in sparse modeling. The book then describes optimization problems involving commonly used sparsity-enforcing tools, presents essential theoretical results, and discusses several state-of-the-art algorithms for finding sparse solutions
ER  -