A Survey of Sparse Linear Models
نویسنده
چکیده
We live in a data-intensive world and every day a lot of new data is being generated in domains like the internet, genetics, and multimedia, among others. This paper explores recent advances in sparse linear models, mainly in terms of algorithmic development and to a lesser extent exploring ways to apply them to large datasets. We discuss mathematical motivation behind these algorithms and also show results on contemporary algorithms and computer architectures.
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تاریخ انتشار 2009