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:

Bibtex: 
@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}}
Report
Send Feedback Start
   0.000005
DB Connect
   0.000409
Lookup hash in DB
   0.000662
Get torrent details
   0.000643
Get torrent details, finished
   0.000638
Get authors
   0.000005
Select authors
   0.000441
Parse bibtex
   0.000105
Write header
   0.000478
get stars
   0.000388
home tab
   0.000464
render right panel
   0.000013
render ads
   0.000048
fetch current hosters
   0.000792
Done