%0 Conference Paper %1 conf/pkdd/HuangLK22 %A Huang, Zhanliang %A Lei, Yunwen %A Kabán, Ata %B ECML/PKDD (4) %D 2022 %E Amini, Massih-Reza %E Canu, Stéphane %E Fischer, Asja %E Guns, Tias %E Novak, Petra Kralj %E Tsoumakas, Grigorios %I Springer %K dblp %P 587-603 %T Noise-Efficient Learning of Differentially Private Partitioning Machine Ensembles. %U http://dblp.uni-trier.de/db/conf/pkdd/pkdd2022-4.html#HuangLK22 %V 13716 %@ 978-3-031-26412-2

@inproceedings{conf/pkdd/HuangLK22, added-at = {2023-06-26T00:00:00.000+0200}, author = {Huang, Zhanliang and Lei, Yunwen and Kabán, Ata}, biburl = {https://www.bibsonomy.org/bibtex/249367af741e600018c9b21da1315798e/dblp}, booktitle = {ECML/PKDD (4)}, crossref = {conf/pkdd/2022-4}, editor = {Amini, Massih-Reza and Canu, Stéphane and Fischer, Asja and Guns, Tias and Novak, Petra Kralj and Tsoumakas, Grigorios}, ee = {https://doi.org/10.1007/978-3-031-26412-2_36}, interhash = {fa93feb2bb8e13e99688c6aa41cc3109}, intrahash = {49367af741e600018c9b21da1315798e}, isbn = {978-3-031-26412-2}, keywords = {dblp}, pages = {587-603}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T09:49:36.000+0200}, title = {Noise-Efficient Learning of Differentially Private Partitioning Machine Ensembles.}, url = {http://dblp.uni-trier.de/db/conf/pkdd/pkdd2022-4.html#HuangLK22}, volume = 13716, year = 2022 }