%0 Journal Article %1 journals/datamine/WangZ21 %A Wang, Lu %A Zhu, Dongxiao %D 2021 %J Data Min. Knowl. Discov. %K dblp %N 3 %P 1134-1161 %T Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches. %U http://dblp.uni-trier.de/db/journals/datamine/datamine35.html#WangZ21 %V 35

@article{journals/datamine/WangZ21, added-at = {2021-05-16T00:00:00.000+0200}, author = {Wang, Lu and Zhu, Dongxiao}, biburl = {https://www.bibsonomy.org/bibtex/23cd1bff13ab62ce1ebeae0d8817eda38/dblp}, ee = {https://doi.org/10.1007/s10618-021-00746-8}, interhash = {9df0795d4d0c7180b8a99a05b4bb6dfa}, intrahash = {3cd1bff13ab62ce1ebeae0d8817eda38}, journal = {Data Min. Knowl. Discov.}, keywords = {dblp}, number = 3, pages = {1134-1161}, timestamp = {2024-04-08T12:41:49.000+0200}, title = {Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches.}, url = {http://dblp.uni-trier.de/db/journals/datamine/datamine35.html#WangZ21}, volume = 35, year = 2021 }