Improving the Accuracy and Scalability of Discriminative Learning Methods for Markov Logic Networks | 2011 |

Tuyen N. Huynh, PhD Thesis, Department of Computer Science, University of Texas at Austin. 159 pages. |

Online Max-Margin Weight Learning for Markov Logic Networks | 2011 |

Tuyen N. Huynh and Raymond J. Mooney, In *Proceedings of the Eleventh SIAM International Conference on Data Mining (SDM11)*, pp. 642--651, Mesa, Arizona, USA, April 2011. |

Online Structure Learning for Markov Logic Networks | 2011 |

Tuyen N. Huynh and Raymond J. Mooney, In *Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2011)*, Vol. 2, pp. 81-96, September 2011. |

Online Max-Margin Weight Learning with Markov Logic Networks | 2010 |

Tuyen N. Huynh and Raymond J. Mooney, In *Proceedings of the AAAI-10 Workshop on Statistical Relational AI (Star-AI 10)*, pp. 32--37, Atlanta, GA, July 2010. |

Discriminative Learning with Markov Logic Networks | 2009 |

Tuyen N. Huynh, unpublished. Ph.D. proposal, Department of Computer Sciences, University of Texas at Austin. |

Max-Margin Weight Learning for Markov Logic Networks | 2009 |

Tuyen N. Huynh and Raymond J. Mooney, In *Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Part 1*, pp. 564--579, Bled, Slovenia, September 2009. |

Max-Margin Weight Learning for Markov Logic Networks | 2009 |

Tuyen N. Huynh and Raymond J. Mooney, In *Proceedings of the International Workshop on Statistical Relational Learning (SRL-09)*, Leuven, Belgium, July 2009. |

Discriminative Structure and Parameter Learning for Markov Logic Networks | 2008 |

Tuyen N. Huynh and Raymond J. Mooney, In *Proceedings of the 25th International Conference on Machine Learning (ICML)*, Helsinki, Finland, July 2008. |

Mapping and Revising Markov Logic Networks for Transfer Learning | 2007 |

Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Mooney, In *Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI-07)*, pp. 608-614, Vancouver, BC, July 2007. |