On Relevant Dimensions in Kernel Feature Spaces
Koby Crammer and Michael Kearns and Jennifer Wortman

On Relevant Dimensions in Kernel Feature Spaces.pdf 102.56kB
Type: Paper
Tags:

Metadata: 
@article{9:64,author={Koby Crammer and Michael Kearns and Jennifer Wortman}, Title={On Relevant Dimensions in Kernel Feature Spaces},journal={Journal of Machine Learning Research},volume={9}, url={http://www.jmlr.org/papers/volume9/bax08b/bax08b.pdf}}
Citation:
Crammer, K., Kearns, M., & Wortman, J.. (2014). On Relevant Dimensions in Kernel Feature Spaces [Data set]. Academic Torrents. https://academictorrents.com/details/774436c940f047c67a4c7266b56706f0a0725f76
No stats to report yet.
Related Torrents
Report
Send Feedback Start
   0.000008
DB Connect
   0.000702
Lookup hash in DB
   0.000578
Get torrent details
   0.000186
Get torrent details, finished
   0.000295
Get authors
   0.000001
Select authors
   0.000252
Parse bibtex
   0.000126
Write header
   0.000287
get stars
   0.000221
home tab
   0.000343
render right panel
   0.000007
render ads
   0.000704
fetch current hosters
   0.000342
Start get stats
   0.000535
End get stats
   0.000001
related datasets
   0.001501
Done