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:

Metadata: 
@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}}
Citation:
Zhao, M., Edakunni, N., Pocock, A., & Brown, G.. (2014). Beyond Fano's Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications [Data set]. Academic Torrents. https://academictorrents.com/details/3f4351f654434c014ffa7bd11b3bec535848fc15
Compute download stats
Related Torrents
Report
Send Feedback Start
   0.000010
DB Connect
   0.000861
Lookup hash in DB
   0.000719
Get torrent details
   0.000221
Get torrent details, finished
   0.000437
Get authors
   0.000001
Select authors
   0.004104
Parse bibtex
   0.000216
Write header
   0.000484
get stars
   0.000158
home tab
   0.000171
render right panel
   0.000016
render ads
   0.000654
fetch current hosters
   0.004541
related datasets
   0.001874
Done