Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space (Kernel Machines Section)
Simon Perkins and Kevin Lacker and James Theiler

Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space     (Kernel Machines Section).pdf 253.43kB
Type: Paper
Tags:

Metadata: 
@article{3:53,author={Simon Perkins and Kevin Lacker and James Theiler}, Title={Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space
(Kernel Machines Section)},journal={Journal of Machine Learning Research},volume={3}, url={http://www.jmlr.org/papers/volume3/forman03a/forman03a.pdf}}
Citation:
Perkins, S., Lacker, K., & Theiler, J.. (2014). Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space (Kernel Machines Section) [Data set]. Academic Torrents. https://academictorrents.com/details/f31b0ef2048424d3b7b66538d6c4da6f7a3c5db5
No stats to report yet.
Related Torrents
Report
Send Feedback Start
   0.000008
DB Connect
   0.000593
Lookup hash in DB
   0.000525
Get torrent details
   0.000147
Get torrent details, finished
   0.000310
Get authors
   0.000001
Select authors
   0.000256
Parse bibtex
   0.000169
Write header
   0.000297
get stars
   0.000129
home tab
   0.000126
render right panel
   0.000006
render ads
   0.000557
fetch current hosters
   0.000266
Start get stats
   0.000387
End get stats
   0.000002
related datasets
   0.001352
Done