Stochastic Logic Programs: Sampling, Inference and Applications

Parameter Estimation in Stochastic Logic Programs

Machine Learning

Issues in Learning Language in Logic

Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II

An empirical study of the use of relevance information in inductive logic programming

The Journal of Machine Learning Research

Probabilistic logic learning

ACM SIGKDD Explorations Newsletter

Quantitative pharmacophore models with inductive logic programming

Machine Learning

ALLPAD: approximate learning of logic programs with annotated disjunctions

Machine Learning

Reasoning with recursive loops under the PLP framework

ACM Transactions on Computational Logic (TOCL)

Bayesian learning of Bayesian networks with informative priors

Annals of Mathematics and Artificial Intelligence

Cp-logic: A language of causal probabilistic events and its relation to logic programming

Theory and Practice of Logic Programming

Exploiting informative priors for Bayesian classification and regression trees

IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence

On the implementation of the probabilistic logic programming language problog

Theory and Practice of Logic Programming

Markov chain monte carlo using tree-based priors on model structure

UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence

Fractionated software for networked cyber-physical systems: research directions and long-term vision

Formal modeling