A Structural GEM for Learning Logical Hidden Markov Models
K. Kersting, T. Raiko, und L. De Raedt. Working Notes of the Second KDD-Workshop on Multi-Relational Data Mining (MRDM-03), Washington, DC, USA, (August 2003)
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%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
}
