Learning in First-Order Probabilistic Representations (2003)

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by Matthew Richardson

Active Bibliography

575 Markov Logic Networks – Matthew Richardson, Pedro Domingos - 2006
579 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
90 Lifted first-order probabilistic inference – Rodrigo De Salvo Braz, Eyal Amir, Dan Roth - 2005
7 A Survey of First-Order Probabilistic Models – Rodrigo de Salvo Braz, Eyal Amir, Dan Roth - 2008
1068 Learning Stochastic Logic Programs – Stephen Muggleton - 2000
110 Interpreting Bayesian Logic Programs – Kristian Kersting, Luc De Raedt, Stefan Kramer - 2001
520 Learning probabilistic relational models – Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer - 1999
631 Inverse entailment and Progol – Stephen Muggleton - 1995
872 A tutorial on learning with Bayesian networks – David Heckerman - 1995