Probabilistic frame-based systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Probabilistic logic programming with conditional constraints
ACM Transactions on Computational Logic (TOCL)
Parameter Estimation in Stochastic Logic Programs
Machine Learning
Learning probabilistic relational models
Relational Data Mining
Complex Probabilistic Modeling with Recursive Relational Bayesian Networks
Annals of Mathematics and Artificial Intelligence
Statistical Abduction with Tabulation
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Efficient EM Learning with Tabulation for Parameterized Logic Programs
CL '00 Proceedings of the First International Conference on Computational Logic
CL '00 Proceedings of the First International Conference on Computational Logic
Probabilistic Relational Models
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming
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
Relational Markov models and their application to adaptive web navigation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Ilp: a short look back and a longer look forward
The Journal of Machine Learning Research
Building large knowledge bases by mass collaboration
Proceedings of the 2nd international conference on Knowledge capture
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
Mixtures of deterministic-probabilistic networks and their AND/OR search space
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Spatial bayesian learning algorithms for geographic information retrieval
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Machine Learning
Diagnosis using a first-order stochastic language that learns
Expert Systems with Applications: An International Journal
MEBN: A language for first-order Bayesian knowledge bases
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
Probabilistic description logic programs under inheritance with overriding for the Semantic Web
International Journal of Approximate Reasoning
Learning to assign degrees of belief in relational domains
Machine Learning
A glimpse of symbolic-statistical modeling by PRISM
Journal of Intelligent Information Systems
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
A Comparison between Two Statistical Relational Models
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
Just Add Weights: Markov Logic for the Semantic Web
Uncertainty Reasoning for the Semantic Web I
Probabilistic reasoning with answer sets
Theory and Practice of Logic Programming
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Mixed deterministic and probabilistic networks
Annals of Mathematics and Artificial Intelligence
Journal of Artificial Intelligence Research
Parameter learning of logic programs for symbolic-statistical modeling
Journal of Artificial Intelligence Research
Learning probabilistic relational models
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Cp-logic: A language of causal probabilistic events and its relation to logic programming
Theory and Practice of Logic Programming
Generative modeling with failure in PRISM
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Annals of Mathematics and Artificial Intelligence
Graphical models for imprecise probabilities
International Journal of Approximate Reasoning
Revision of first-order Bayesian classifiers
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Probabilistic inductive logic programming
Probabilistic inductive logic programming
New advances in logic-based probabilistic modeling by PRISM
Probabilistic inductive logic programming
Basic principles of learning Bayesian logic programs
Probabilistic inductive logic programming
Model failure and context switching using logic-based stochastic
Journal of Computer Science and Technology
Automatic ontology evolution in open and dynamic computing environments
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
Logic programming and uncertainty
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
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
Understanding tuberculosis epidemiology using structured statistical models
Artificial Intelligence in Medicine
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