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Synopsis
Key approaches in the rapidly developing area of sparse modeling, focusing on its application in fields including neuroscience, computational biology, and computer vision.
Sparse modeling is a rapidly developing area at the intersection of statistical learning and signal processing, motivated by the age-old statistical problem of selecting a small number of predictive variables in high-dimensional datasets. This collection describes key approaches in sparse modeling, focusing on its applications in...
About the Author
Irina Rish, Guillermo Cecchi, and Aurelie Lozao are Research Staff Members at IBM T. J. Watson Research Center, New York. Alexandru Niculescu-Mizil is a Researcher at the Machine Learning Department at NEC Labs America, Princeton, New Jersey.
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- PublisherMit Pr
- Publication date2014
- ISBN 10 0262027720
- ISBN 13 9780262027724
- BindingHardcover
- LanguageEnglish
- Number of pages249
- EditorRish Irina, Cecchi Guillermo A., Lozano Aurelie, Niculescu-mizil Alexandru
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