%0 Journal Article %1 wang2021tackling %A Wang, Lu %A Zhu, Dongxiao %D 2021 %I Springer %J Data Mining and Knowledge Discovery %K multitask multi task learning subgroup discovery subgroups citedby:scholar:count:1 citedby:scholar:timestamp:2021-12-15 %N 3 %P 1134--1161 %T Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches %V 35

@article{wang2021tackling, added-at = {2021-12-15T04:36:44.000+0100}, author = {Wang, Lu and Zhu, Dongxiao}, biburl = {https://www.bibsonomy.org/bibtex/2d5d61c70c6655f31a45480c68e3aa278/becker}, interhash = {9df0795d4d0c7180b8a99a05b4bb6dfa}, intrahash = {d5d61c70c6655f31a45480c68e3aa278}, journal = {Data Mining and Knowledge Discovery}, keywords = {multitask multi task learning subgroup discovery subgroups citedby:scholar:count:1 citedby:scholar:timestamp:2021-12-15}, number = 3, pages = {1134--1161}, publisher = {Springer}, timestamp = {2021-12-15T04:36:44.000+0100}, title = {Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches}, volume = 35, year = 2021 }