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The Journal of Machine Learning Research
ACM SIGKDD Explorations Newsletter
PRL: A probabilistic relational language
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Reasoning with recursive loops under the PLP framework
ACM Transactions on Computational Logic (TOCL)
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Learning symbolic models of stochastic domains
Journal of Artificial Intelligence Research
Automated compilation of Object-Oriented Probabilistic Relational Models
International Journal of Approximate Reasoning
Probabilistic inductive logic programming
Probabilistic inductive logic programming
A behavioral comparison of some probabilistic logic models
Probabilistic inductive logic programming
Sharing-aware horizontal partitioning for exploiting correlations during query processing
Proceedings of the VLDB Endowment
Probabilistic reasoning techniques for the tactical military domain
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Deriving a stationary dynamic bayesian network from a logic program with recursive loops
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Understanding tuberculosis epidemiology using structured statistical models
Artificial Intelligence in Medicine
Efficiently adapting graphical models for selectivity estimation
The VLDB Journal — The International Journal on Very Large Data Bases
Modelling relational statistics with Bayes Nets
Machine Learning
Attributed graph models: modeling network structure with correlated attributes
Proceedings of the 23rd international conference on World wide web
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