%0 Conference Paper %1 conf/icmlc/LiLH12 %A Li, Jun-Hua %A Li, Hai-Jun %A He, Qiang %B ICMLC %D 2012 %I IEEE %K dblp %P 797-800 %T The key theorem of learning theory with samples corrupted by zero-expect noise on chance space. %U http://dblp.uni-trier.de/db/conf/icmlc/icmlc2012.html#LiLH12 %@ 978-1-4673-1484-8

@inproceedings{conf/icmlc/LiLH12, added-at = {2012-12-16T00:00:00.000+0100}, author = {Li, Jun-Hua and Li, Hai-Jun and He, Qiang}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2c8f7eddea708af06211c26075d9dcfd6/dblp}, booktitle = {ICMLC}, crossref = {conf/icmlc/2012}, ee = {http://dx.doi.org/10.1109/ICMLC.2012.6359027}, interhash = {ea5ce0f2659c110480c3f4c33536df52}, intrahash = {c8f7eddea708af06211c26075d9dcfd6}, isbn = {978-1-4673-1484-8}, keywords = {dblp}, pages = {797-800}, publisher = {IEEE}, timestamp = {2016-02-02T16:39:37.000+0100}, title = {The key theorem of learning theory with samples corrupted by zero-expect noise on chance space.}, url = {http://dblp.uni-trier.de/db/conf/icmlc/icmlc2012.html#LiLH12}, year = 2012 }