Learning Markov Network Structure with Decision Trees

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by Daniel Lowd , Jesse Davis
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3 Bottom-Up Learning of Markov Network Structure – Jesse Davis, Pedro Domingos
2 Learning Efficient Markov Networks – Vibhav Gogate, William Austin, Webb Pedro Domingos
KL(P (.|xev)‖Q(.|xev)) ≤ 1 KL(P ‖Q) – Daniel Lowd, Pedro Domingos, P (y|x P (x
Improving the . . . of Discriminative Learning Methods for Markov Logic Networks – Tuyen Ngoc Huynh - 2011
Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior – Yutian Chen, Max Welling
Discriminative Learning with Markov Logic Networks – Tuyen N. Huynh
21 Discriminative Structure and Parameter Learning for Markov Logic Networks – Tuyen N. Huynh, Raymond J. Mooney
Improving Learning of Markov Logic Networks using Transfer and Bottom-Up Induction – Lilyana S. Mihalkova
Learning with Markov Logic Networks: Transfer Learning, Structure Learning, and an Application to Web Query Disambiguation – Lilyana Simeonova Mihalkova - 2009
Lifted Graphical Models: A Survey – Lilyana Mihalkova, Lise Getoor - 2011
Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields – unknown authors
Towards Multistrategic Statistical Relational Learning – Marenglen Biba, Stefano Ferilli, Floriana Esposito
4 Markov Logic – Pedro Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla
3 Just Add Weights: Markov Logic for the Semantic Web – Pedro Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Parag Singla
19 Conditional random fields for activity recognition – Douglas L. Vail, Carlos Guestrin - 2007
19 Naive bayes models for probability estimation – Daniel Lowd - 2005
DOI 10.1007/s10994-006-5833-1 Markov logic networks – Matthew Richardson, Pedro Domingos, M. Richardson, P. Domingos - 2006
363 Markov Logic Networks – Matthew Richardson, Pedro Domingos - 2006
2 Approximate Inference by Compilation to Arithmetic Circuits – Daniel Lowd, Pedro Domingos