A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression
Jianing Shi and Wotao Yin and Stanley Osher and Paul Sajda

A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression.pdf 2.71MB
Type: Paper
Tags:

Metadata:
@article{11:23,author={Jianing Shi and Wotao Yin and Stanley Osher and Paul Sajda}, Title={A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression},journal={Journal of Machine Learning Research},volume={11}, url={http://www.jmlr.org/papers/volume11/shi10a/shi10a.pdf}}
Citation:
Shi, J., Yin, W., Osher, S., & Sajda, P.. (2014). A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression [Data set]. Academic Torrents. https://academictorrents.com/details/992fc5a3b795a31d6b455b1d62bc010e7a643304

Send Feedback Start
   0.000007
DB Connect
   0.000682
Lookup hash in DB
   0.000511
Get torrent details
   0.000149
Get torrent details, finished
   0.000245
Get authors
   0.000001
Select authors
   0.000237
Parse bibtex
   0.000128
Write header
   0.000275
get stars
   0.000300
home tab
   0.000141
render right panel
   0.000016
render ads
   0.000621
fetch current hosters
   0.000311
related datasets
   0.001687
Done