Scalable sparse machine learning methods for big data

Sparse machine learning models have become increasingly popular in analyzing high-dimensional data. With the evolving era of Big Data, ultrahigh-dimensional, large-scale data sets are constantly collected in many areas such as genetics, genomics, biomedical imaging, social media analysis, and high-f...

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Bibliographic Details
Main Author: Zeng, Yaohui
Other Authors: Breheny, Patrick John
Format: Others
Language:English
Published: University of Iowa 2017
Subjects:
Online Access:https://ir.uiowa.edu/etd/6021
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=7502&context=etd