An analysis of first-order logics of probability
Artificial Intelligence
Probabilistic Horn abduction and Bayesian networks
Artificial Intelligence
Constructing Flexible Dynamic Belief Networks from First-Order Probalistic Knowledge Bases
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Irrelevance and conditioning in first-order probabilistic logic
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Probabilistic logic programming with conditional constraints
ACM Transactions on Computational Logic (TOCL)
Complex Probabilistic Modeling with Recursive Relational Bayesian Networks
Annals of Mathematics and Artificial Intelligence
Probalilistic Logic Programming under Maximum Entropy
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Adaptive Bayesian Logic Programs
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
ACM SIGKDD Explorations Newsletter
Combining probabilistic logic programming with the power of maximum entropy
Artificial Intelligence - Special issue on nonmonotonic reasoning
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
A new characterization of probabilities in Bayesian networks
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Learning first-order probabilistic models with combining rules
ICML '05 Proceedings of the 22nd international conference on Machine learning
Relational Dependency Networks
The Journal of Machine Learning Research
Parameter learning for relational Bayesian networks
Proceedings of the 24th international conference on Machine learning
Computer Methods and Programs in Biomedicine
On probabilistic inference by weighted model counting
Artificial Intelligence
Reasoning with recursive loops under the PLP framework
ACM Transactions on Computational Logic (TOCL)
Probabilistic logic with independence
International Journal of Approximate Reasoning
Learning to assign degrees of belief in relational domains
Machine Learning
Structured machine learning: the next ten years
Machine Learning
First-Order Probabilistic Languages: Into the Unknown
Inductive Logic Programming
A Survey of Formal Verification for Business Process Modeling
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
Loopy Propagation in a Probabilistic Description Logic
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Towards Machine Learning on the Semantic Web
Uncertainty Reasoning for the Semantic Web I
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Probabilistic-Logic Models: Reasoning and Learning with Relational Structures
Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008
Situation Assessment for Sensor-Based Recovery Planning
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Learning first-order probabilistic models with combining rules
Annals of Mathematics and Artificial Intelligence
MPE and partial inversion in lifted probabilistic variable elimination
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Solving MAP exactly by searching on compiled arithmetic circuits
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Preprocessing for Optimization of Probabilistic-Logic Models for Sequence Analysis
ICLP '09 Proceedings of the 25th International Conference on Logic Programming
Journal of Artificial Intelligence Research
Cp-logic: A language of causal probabilistic events and its relation to logic programming
Theory and Practice of Logic Programming
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Lifted first-order probabilistic inference
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Graphical models for imprecise probabilities
International Journal of Approximate Reasoning
Compiling relational Bayesian networks for exact inference
International Journal of Approximate Reasoning
Revision of first-order Bayesian classifiers
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Learning to assign degrees of belief in relational domains
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
A relational hierarchical model for decision-theoretic assistance
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Probabilistic inductive logic programming
Probabilistic inductive logic programming
Basic principles of learning Bayesian logic programs
Probabilistic inductive logic programming
Model-theoretic expressivity analysis
Probabilistic inductive logic programming
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Knowledge representation for stochastic decision processes
Artificial intelligence today
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
Relational preference rules for control
Artificial Intelligence
Loglinear models for first-order probabilistic reasoning
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Probabilistic logic programming under inheritance with overriding
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Probabilistic logic with strong independence
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Logical bayesian networks and their relation to other probabilistic logical models
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
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
On the combination of logical and probabilistic models for information analysis
Applied Intelligence
Reference classes and relational learning
International Journal of Approximate Reasoning
Data Mining and Knowledge Discovery
Structured probabilistic inference
International Journal of Approximate Reasoning
Location-based reasoning about complex multi-agent behavior
Journal of Artificial Intelligence Research
Type Extension Trees for feature construction and learning in relational domains
Artificial Intelligence
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A new method is developed to represent probabilistic relations on multiple random events. Where previously knowledge bases containing probabilistic rules were used for this purpose, here a probability distribution over the relations is directly represented by a Bayesian network. By using a powerful way of specifying conditional probability distributions in these networks, the resulting formalism is more expressive than the previous ones. Particularly, it provides for constraints on equalities of events, and it allows to define complex, nested combination functions.