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.pdf542.56kB
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
   0.000006
DB Connect
   0.000448
Lookup hash in DB
   0.000842
Get torrent details
   0.000700
Get torrent details, finished
   0.000828
Get authors
   0.000005
Select authors
   0.000567
Parse bibtex
   0.000100
Write header
   0.000499
get stars
   0.000550
home tab
   0.000453
render right panel
   0.000010
render ads
   0.000062
fetch current hosters
   0.000649
Done