%0 Conference Paper %1 conf/allerton/DingNT15 %A Ding, Jie %A Noshad, Mohammad %A Tarokh, Vahid %B Allerton %D 2015 %I IEEE %K dblp %P 418-425 %T Data-driven learning of the number of states in multi-state autoregressive models. %U http://dblp.uni-trier.de/db/conf/allerton/allerton2015.html#DingNT15 %@ 978-1-5090-1824-6

@inproceedings{conf/allerton/DingNT15, added-at = {2020-01-17T00:00:00.000+0100}, author = {Ding, Jie and Noshad, Mohammad and Tarokh, Vahid}, biburl = {https://www.bibsonomy.org/bibtex/215f26d7df70a8cea4e2d4ba3dec3a537/dblp}, booktitle = {Allerton}, crossref = {conf/allerton/2015}, ee = {https://doi.org/10.1109/ALLERTON.2015.7447034}, interhash = {08b323771bc0fba4a0432a83776cefd5}, intrahash = {15f26d7df70a8cea4e2d4ba3dec3a537}, isbn = {978-1-5090-1824-6}, keywords = {dblp}, pages = {418-425}, publisher = {IEEE}, timestamp = {2020-01-18T11:41:11.000+0100}, title = {Data-driven learning of the number of states in multi-state autoregressive models.}, url = {http://dblp.uni-trier.de/db/conf/allerton/allerton2015.html#DingNT15}, year = 2015 }