Open MAEA2 opened 5 years ago
@inproceedings{Evgeniou:2004:RML:1014052.1014067, author = {Evgeniou, Theodoros and Pontil, Massimiliano}, title = {Regularized Multi--task Learning}, booktitle = {Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining}, series = {KDD '04}, year = {2004}, isbn = {1-58113-888-1}, location = {Seattle, WA, USA}, pages = {109--117}, numpages = {9}, url = {http://doi.acm.org/10.1145/1014052.1014067}, doi = {10.1145/1014052.1014067}, acmid = {1014067}, publisher = {ACM}, address = {New York, NY, USA}, keywords = {kernel methods, multi--task learning, regularization, support vector machines}, }
書誌情報
@inproceedings{Evgeniou:2004:RML:1014052.1014067, author = {Evgeniou, Theodoros and Pontil, Massimiliano}, title = {Regularized Multi--task Learning}, booktitle = {Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining}, series = {KDD '04}, year = {2004}, isbn = {1-58113-888-1}, location = {Seattle, WA, USA}, pages = {109--117}, numpages = {9}, url = {http://doi.acm.org/10.1145/1014052.1014067}, doi = {10.1145/1014052.1014067}, acmid = {1014067}, publisher = {ACM}, address = {New York, NY, USA}, keywords = {kernel methods, multi--task learning, regularization, support vector machines}, }
どんなもの？
先行研究と比べてどこがすごい？
技術や手法のキモはどこ？
どうやって有効だと検証した？
議論はある？
次に読むべき論文は？