Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
The well-founded semantics for general logic programs
Journal of the ACM (JACM)
Probabilistic Horn abduction and Bayesian networks
Artificial Intelligence
Answering queries from context-sensitive probabilistic knowledge bases
Selected papers from the international workshop on Uncertainty in databases and deductive systems
The independent choice logic for modelling multiple agents under uncertainty
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Parameter Estimation in Stochastic Logic Programs
Machine Learning
‘Classical’ Negation in Nonmonotonic Reasoning and Logic Programming
Journal of Automated Reasoning
Learning Probabilistic Models of Relational Structure
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Learning Probabilistic Relational Models
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Efficient EM Learning with Tabulation for Parameterized Logic Programs
CL '00 Proceedings of the First International Conference on Computational Logic
Adaptive Bayesian Logic Programs
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
Towards Combining Inductive Logic Programming with Bayesian Networks
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
Bayesian Logic Programs
Dependency networks for inference, collaborative filtering, and data visualization
The Journal of Machine Learning Research
Learning probabilistic models of link structure
The Journal of Machine Learning Research
ACM SIGKDD Explorations Newsletter
Knowledge Representation and Reasoning
Knowledge Representation and Reasoning
Balios: the engine for Bayesian logic programs
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Learning Bayesian Networks
PRISM: a language for symbolic-statistical modeling
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Parameter learning of logic programs for symbolic-statistical modeling
Journal of Artificial Intelligence Research
Top-down induction of first-order logical decision trees
Artificial Intelligence
Stochastic logic programs: sampling, inference and applications
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Using first-order probability logic for the construction of Bayesian networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
CLP(BN): constraint logic programming for probabilistic knowledge
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
PRL: A probabilistic relational language
Machine Learning
Reasoning with recursive loops under the PLP framework
ACM Transactions on Computational Logic (TOCL)
A glimpse of symbolic-statistical modeling by PRISM
Journal of Intelligent Information Systems
First-Order Probabilistic Languages: Into the Unknown
Inductive Logic Programming
Generalized Ordering-Search for Learning Directed Probabilistic Logical Models
Inductive Logic Programming
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search
ECML '07 Proceedings of the 18th European conference on Machine Learning
Learning directed probabilistic logical models from relational data
AI Communications
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 directed probabilistic logical models: ordering-search versus structure-search
Annals of Mathematics and Artificial Intelligence
ICLP '09 Proceedings of the 25th International Conference on Logic Programming
Cp-logic: A language of causal probabilistic events and its relation to logic programming
Theory and Practice of Logic Programming
New advances in logic-based probabilistic modeling by PRISM
Probabilistic inductive logic programming
Exploiting causal independence in Markov logic networks: combining undirected and directed models
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
On the combination of logical and probabilistic models for information analysis
Applied Intelligence
Extending and formalizing bayesian networks by strong relevant logic
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
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Logical Bayesian Networks (LBNs) have recently been introduced as another language for knowledge based model construction of Bayesian networks, besides existing languages such as Probabilistic Relational Models (PRMs) and Bayesian Logic Programs (BLPs). The original description of LBNs introduces them as a variant of BLPs and discusses the differences with BLPs but still leaves room for a deeper discussion of the relationship between LBNs and BLPs. Also the relationship to PRMs was not treated in much detail. In this paper, we first give a more compact and clear definition of LBNs. Next, we describe in more detail how PRMs and BLPs relate to LBNs. Like this we not only see what the advantages and disadvantages of LBNs are with respect to PRMs and BLPs, we also gain more insight into the relationships between PRMs and BLPs.