Learning in First-Order Probabilistic Representations (2003)

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by Matthew Richardson

Active Bibliography

7 A Survey of First-Order Probabilistic Models – Rodrigo de Salvo Braz, Eyal Amir, Dan Roth - 2008
88 Lifted first-order probabilistic inference – Rodrigo De Salvo Braz, Eyal Amir, Dan Roth - 2005
109 Interpreting Bayesian Logic Programs – Kristian Kersting, Luc De Raedt, Stefan Kramer - 2001
DOI 10.1007/s10994-006-5833-1 Markov logic networks – Matthew Richardson, Pedro Domingos, M. Richardson, P. Domingos - 2006
565 Markov Logic Networks – Matthew Richardson, Pedro Domingos - 2006
Towards Multistrategic Statistical Relational Learning – Marenglen Biba, Stefano Ferilli, Floriana Esposito
61 Probabilistic Reasoning for Complex Systems – Avrom J. Pfeffer - 2000
34 Probabilistic Logic Learning – Luc De Raedt, Kristian Kersting - 2004
7 Markov Logic – Pedro Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla
76 Towards Combining Inductive Logic Programming with Bayesian Networks – Kristian Kersting, Luc De Raedt - 2001
12 New advances in logic-based probabilistic modeling by PRISM – Taisuke Sato, Yoshitaka Kameya - 2008
54 Location-based activity recognition – Lin Liao, Dieter Fox, Henry Kautz - 2005
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
56 A Perspective on Inductive Logic Programming – Luc De Raedt
67 Graphical models and automatic speech recognition – Jeffrey A. Bilmes - 2003
18 The Independent Choice Logic and Beyond – David Poole
44 Learning Probabilities for Noisy First-Order Rules – Daphne Koller, Avi Pfeffer - 1997
5 Efficient Reasoning – Russell Greiner, Christian Darken, N. Iwan Santoso - 1998
102 Learning Probabilistic Models of Link Structure – Lise Getoor, Nir Friedman, Daphne Koller, Ben Taskar - 2002