%0 Journal Article %1 Hauser2014926 %A Hauser, Alain %A Bühlmann, Peter %D 2014 %J International Journal of Approximate Reasoning %K c1 %N 4 %P 926 - 939 %R http://dx.doi.org/10.1016/j.ijar.2013.11.007 %T Two optimal strategies for active learning of causal models from interventional data %U http://www.sciencedirect.com/science/article/pii/S0888613X13002879 %V 55

@article{Hauser2014926, added-at = {2014-08-28T16:39:56.000+0200}, author = {Hauser, Alain and B\"{u}hlmann, Peter}, biburl = {https://www.bibsonomy.org/bibtex/2b34170e33b18dcf1071ed9b379441bdb/for916}, doi = {http://dx.doi.org/10.1016/j.ijar.2013.11.007}, interhash = {00ceea5a85abfb4a5c389d767be5c3cc}, intrahash = {b34170e33b18dcf1071ed9b379441bdb}, issn = {0888-613X}, journal = {International Journal of Approximate Reasoning }, keywords = {c1}, note = {Special issue on the sixth European Workshop on Probabilistic Graphical Models }, number = 4, pages = {926 - 939}, timestamp = {2014-08-28T16:39:56.000+0200}, title = {Two optimal strategies for active learning of causal models from interventional data }, url = {http://www.sciencedirect.com/science/article/pii/S0888613X13002879}, volume = 55, year = 2014 }