Beyond Fano's Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications
Ming-Jie Zhao and Narayanan Edakunni and Adam Pocock and Gavin Brown

Beyond Fano's Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications.pdf 542.56kB
Type: Paper
Tags:

Bibtex: 
@article{14:33,author={Ming-Jie Zhao and Narayanan Edakunni and Adam Pocock and Gavin Brown}, Title={Beyond Fano's Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications},journal={Journal of Machine Learning Research},volume={14}, url={http://www.jmlr.org/papers/volume14/zhao13a/zhao13a.pdf}}
Report
Send Feedback Start
   0.000004
DB Connect
   0.000362
Lookup hash in DB
   0.000675
Get torrent details
   0.000656
Get torrent details, finished
   0.000591
Get authors
   0.000002
Select authors
   0.000434
Parse bibtex
   0.000070
Write header
   0.000538
get stars
   0.000467
home tab
   0.000500
render right panel
   0.000010
render ads
   0.000039
fetch current hosters
   0.000785
Done