Computers & Internet Books:

Sparse Modeling

Theory, Algorithms, and Applications
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Description

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.

Author Biography:

Irina Rish, Genady Grabarnik
Release date Australia
December 1st, 2014
Audience
  • Professional & Vocational
Illustrations
7 Illustrations, color; 52 Illustrations, black and white
Pages
254
Dimensions
156x235x18
ISBN-13
9781439828694
Product ID
4187729

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