%0 Conference Paper %1 KerstingRaikoDeRaedt:03 %A Kersting, K. %A Raiko, T. %A De Raedt, L. %B Working Notes of the Second KDD-Workshop on Multi-Relational Data Mining (MRDM-03) %C Washington, DC, USA %D 2003 %E Dzeroski, S. %E De Raedt, L. %E Wrobel, S. %K ml %T A Structural GEM for Learning Logical Hidden Markov Models

@inproceedings{KerstingRaikoDeRaedt:03, added-at = {2016-11-26T13:13:30.000+0100}, address = {Washington, DC, USA}, author = {Kersting, K. and Raiko, T. and {De Raedt}, L.}, biburl = {https://www.bibsonomy.org/bibtex/2a3d72c64dfd8f3eb9e8fb8e72ecc2862/machinelearning}, booktitle = {Working Notes of the Second KDD-Workshop on Multi-Relational Data Mining (MRDM-03)}, editor = {D{\v{z}}eroski, S. and {De Raedt}, L. and Wrobel, S.}, interhash = {a64384360d7b195428ed705f6fa9d2bf}, intrahash = {a3d72c64dfd8f3eb9e8fb8e72ecc2862}, keywords = {ml}, month = {August 27}, timestamp = {2016-11-26T13:17:02.000+0100}, title = {{A} {S}tructural {GEM} for {L}earning {L}ogical {H}idden {M}arkov {M}odels}, year = 2003 }