[PDF.49eq] Practical Applications of Sparse Modeling (Neural Information Processing series)

Practical Applications of Sparse Modeling (Neural Information Processing series)

[PDF.bm89] Practical Applications of Sparse Modeling (Neural Information Processing series)

Practical Applications of Sparse From The MIT Press epub
Practical Applications of Sparse From The MIT Press pdf download
Practical Applications of Sparse From The MIT Press pdf file
Practical Applications of Sparse From The MIT Press audiobook
Practical Applications of Sparse From The MIT Press book review
Practical Applications of Sparse From The MIT Press summary

 | #2660074 in Books |  2014-09-12 | Original language:English | PDF # 1 |  10.00 x.56 x8.00l,.0 | File type: PDF | 264 pages

---

||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.

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 fields including neuroscience, computational biology, and computer vision.

Sparse modeling methods can improve the interpretability o...

You easily download any file type for your gadget.Practical Applications of Sparse Modeling (Neural Information Processing series)   |  From The MIT Press. I was recommended this book by a dear friend of mine.

Read Online Now