Learning in First-Order Probabilistic Representations (2003)
by
Matthew Richardson
Active Bibliography
| 2 | A Survey of First-Order Probabilistic Models – Rodrigo de Salvo Braz, Eyal Amir, Dan Roth - 2008 |
| 56 | Lifted first-order probabilistic inference – Rodrigo De Salvo Braz, Eyal Amir, Dan Roth - 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 |
| Towards Multistrategic Statistical Relational Learning – Marenglen Biba, Stefano Ferilli, Floriana Esposito | |
| 48 | Probabilistic Reasoning for Complex Systems – Avrom J. Pfeffer - 2000 |
| 31 | Probabilistic Logic Learning – Luc De Raedt, Kristian Kersting - 2004 |
| 4 | Markov Logic – Pedro Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla |
| 8 | New advances in logic-based probabilistic modeling by PRISM – Taisuke Sato, Yoshitaka Kameya - 2008 |
| 68 | Towards Combining Inductive Logic Programming with Bayesian Networks – Kristian Kersting, Luc De Raedt - 2001 |
| 39 | Location-based activity recognition – Lin Liao, Dieter Fox, Henry Kautz - 2005 |
| 393 | Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002 |
| 40 | A Perspective on Inductive Logic Programming – Luc De Raedt |
| 49 | Graphical models and automatic speech recognition – Jeffrey A. Bilmes - 2003 |
| 10 | The Independent Choice Logic and Beyond – David Poole |
| 40 | Learning Probabilities for Noisy First-Order Rules – Daphne Koller, Avi Pfeffer - 1997 |
| 3 | Efficient Reasoning – Russell Greiner, Christian Darken, N. Iwan Santoso - 1998 |
| 89 | Learning Probabilistic Models of Link Structure – Lise Getoor, Nir Friedman, Daphne Koller, Ben Taskar - 2002 |
| Extending Bayesian Logic Programs for Plan Recognition and Machine Reading – Sindhu V. Raghavan |
