Active Bibliography

DOI 10.1007/s10994-006-5833-1 Markov logic networks – Matthew Richardson, Pedro Domingos, M. Richardson, P. Domingos - 2006
7 Markov Logic – Pedro Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla
Markov Logic: A Language and Algorithms for Link Mining – Pedro Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Matthew Richardson, Parag Singla
5 Just Add Weights: Markov Logic for the Semantic Web – Pedro Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Parag Singla
Towards Multistrategic Statistical Relational Learning – Marenglen Biba, Stefano Ferilli, Floriana Esposito
Learning in First-Order Probabilistic Representations – Matthew Richardson - 2003
Abstract Structure Learning in Markov Logic Networks – Stanley Kok, Stanley Kok, Pedro Domingos, Pedro Domingos, Oren Etzioni, Daniel S. Weld, Stanley Kok - 2010
10 Structured machine learning: the next ten years – Thomas G. Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli - 2008
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
Learning with Markov Logic Networks: Transfer Learning, Structure Learning, and an Application to Web Query Disambiguation – Lilyana Simeonova Mihalkova - 2009
10 Learning and Inference in WEIGHTED LOGIC WITH APPLICATION TO NATURAL LANGUAGE PROCESSING – Aron Culotta - 2008
Social networks and statistical relational learning: a survey – Floriana Esposito, Stefano Ferilli, Teresa M. A. Basile, Nicola Di Mauro
102 Learning Probabilistic Models of Link Structure – Lise Getoor, Nir Friedman, Daphne Koller, Ben Taskar - 2002
11 New advances in logic-based probabilistic modeling by PRISM – Taisuke Sato, Yoshitaka Kameya - 2008
Improving the . . . of Discriminative Learning Methods for Markov Logic Networks – Tuyen Ngoc Huynh - 2011
Improving Learning of Markov Logic Networks using Transfer and Bottom-Up Induction – Lilyana S. Mihalkova
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
77 Towards Combining Inductive Logic Programming with Bayesian Networks – Kristian Kersting, Luc De Raedt - 2001