Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem
Marc Sebban and Richard Nock and Stphane Lallich

Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem.pdf 274.08kB
Type: Paper
Tags:

Metadata: 
@article{3:34,author={Marc Sebban and Richard Nock and Stphane Lallich}, Title={Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem},journal={Journal of Machine Learning Research},volume={3}, url={http://www.jmlr.org/papers/volume3/perkins02a/perkins02a.pdf}}
Citation:
Sebban, M., Nock, R., & Lallich, S.. (2014). Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem [Data set]. Academic Torrents. https://academictorrents.com/details/0de748dc086791b5cde497b0dca4e896614a7d69
No stats to report yet.
Related Torrents
Report
Send Feedback Start
   0.000007
DB Connect
   0.000517
Lookup hash in DB
   0.000442
Get torrent details
   0.000131
Get torrent details, finished
   0.000323
Get authors
   0.000001
Select authors
   0.000212
Parse bibtex
   0.000105
Write header
   0.000247
get stars
   0.000121
home tab
   0.000145
render right panel
   0.000005
render ads
   0.000396
fetch current hosters
   0.000234
Start get stats
   0.000318
End get stats
   0.000002
related datasets
   0.001007
Done