Sparse Modeling Theory Algorithms and Applications 1st Edition by Irina Rish, Genady Grabarnik – Ebook PDF Instant Download/Delivery: 1439828709, 9781439828700
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Product details:
ISBN 10: 1439828709
ISBN 13: 9781439828700
Author: Irina Rish, Genady Grabarnik
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.
Sparse Modeling Theory Algorithms and Applications 1st Table of contents:
Chapter 1: Introduction
Chapter 2: Sparse Recovery: Problem Formulations
Chapter 3: Theoretical Results (Deterministic Part)
Chapter 4: Theoretical Results (Probabilistic Part)
Chapter 5: Algorithms for Sparse Recovery Problems
Chapter 6: Beyond LASSO: Structured Sparsity
Chapter 7: Beyond LASSO: Other Loss Functions
Chapter 8: Sparse Graphical Models
Chapter 9: Sparse Matrix Factorization: Dictionary Learning and Beyond
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