On the Learnability of Shuffle Ideals
Dana Angluin and James Aspnes and Sarah Eisenstat and Aryeh Kontorovich

On the Learnability of Shuffle Ideals.pdf 181.53kB
Type: Paper
Tags:

Metadata:
@article{14:48,author={Dana Angluin and James Aspnes and Sarah Eisenstat and Aryeh Kontorovich}, Title={On the Learnability of Shuffle Ideals},journal={Journal of Machine Learning Research},volume={14}, url={http://jmlr.org/papers/volume14/angluin13a/angluin13a.pdf}}
Citation:
Angluin, D., Aspnes, J., Eisenstat, S., & Kontorovich, A.. (2014). On the Learnability of Shuffle Ideals [Data set]. Academic Torrents. https://academictorrents.com/details/1994966b15a813e041fd3b12333cbb91fd51ee86

Send Feedback Start
   0.000005
DB Connect
   0.000447
Lookup hash in DB
   0.000441
Get torrent details
   0.000117
Get torrent details, finished
   0.000204
Get authors
   0.000001
Select authors
   0.000174
Parse bibtex
   0.000089
Write header
   0.000193
get stars
   0.000097
home tab
   0.000093
render right panel
   0.000004
render ads
   0.000382
fetch current hosters
   0.000349
related datasets
   0.009983
Done