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
10 day statistics (1 downloads)
Average Time 1 hrs, 53 mins, 36 secs
Average Speed 0.04kB/s
Best Time 1 hrs, 53 mins, 36 secs
Best Speed 0.04kB/s
Worst Time 1 hrs, 53 mins, 36 secs
Worst Speed 0.04kB/s

Send Feedback