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
Compute download stats
Related Torrents
Report
Send Feedback Start
   0.000015
DB Connect
   0.000626
Lookup hash in DB
   0.000537
Get torrent details
   0.000166
Get torrent details, finished
   0.000454
Get authors
   0.000001
Select authors
   0.000238
Parse bibtex
   0.000146
Write header
   0.000270
get stars
   0.000315
home tab
   0.000200
render right panel
   0.000006
render ads
   0.000631
fetch current hosters
   0.000332
related datasets
   0.001378
Done