Learning Markov Network Structure with Decision Trees

by Daniel Lowd , Jesse Davis
Citations:7 - 5 self

Active Bibliography

1 Closed-Form Learning of Markov Networks from Dependency Networks – Daniel Lowd
9 Bottom-Up Learning of Markov Network Structure – Jesse Davis, Pedro Domingos
6 Learning Efficient Markov Networks – Vibhav Gogate, William Austin, Webb Pedro Domingos
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence Markov Network Structure Learning: A Randomized Feature Generation Approach – Jan Van Haaren, Jesse Davis
Abstract Structure Learning in Markov Logic Networks – Stanley Kok, Stanley Kok, Pedro Domingos, Pedro Domingos, Oren Etzioni, Daniel S. Weld, Stanley Kok - 2010
Learning Markov Networks With Arithmetic Circuits – Daniel Lowd, Amirmohammad Rooshenas
Learning the Structure of Sum-Product Networks – Robert Gens, Pedro Domingos
2 Mean field inference in dependency networks: An empirical study – Daniel Lowd, Arash Shamaei - 2011
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
User Manual for Libra 0.5.0 – Daniel Lowd - 2012
1 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
36 Discriminative Structure and Parameter Learning for Markov Logic Networks – Tuyen N. Huynh, Raymond J. Mooney
6 Recent Advances of Large-scale Linear Classification – Guo-xun Yuan, Chia-hua Ho, Chih-jen Lin
Lifted Graphical Models: A Survey – Lilyana Mihalkova, Lise Getoor - 2011
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
Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields – unknown authors