Sparse Modeling : Theory, Algorithms, and Applications PDF
by Irina Rish, Genady (St. John's University, Queens, NY) Grabarnik
Part of the Chapman & Hall/CRC Machine Learning & Pattern Recognition series
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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 t
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- Format:PDF
- Pages:253 pages
- Publisher:Taylor & Francis Inc
- Publication Date:01/12/2014
- Category:
- ISBN:9781439828700
Other Formats
- Hardback from £62.12
- Paperback / softback from £38.55
Information
-
Download Now
- Format:PDF
- Pages:253 pages
- Publisher:Taylor & Francis Inc
- Publication Date:01/12/2014
- Category:
- ISBN:9781439828700
