Towards Combining Inductive Logic Programming with Bayesian Networks
- 30 August 2001
- book chapter
- Published by Springer Nature
- p. 118-131
- https://doi.org/10.1007/3-540-44797-0_10
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Learning Probabilistic Relational ModelsPublished by Springer Nature ,2001
- Parameter Estimation in Stochastic Logic ProgramsMachine Learning, 2001
- Isidd: An interactive system for inductive database designApplied Artificial Intelligence, 1998
- Answering queries from context-sensitive probabilistic knowledge basesTheoretical Computer Science, 1997
- Clausal DiscoveryMachine Learning, 1997
- LEARNING BAYESIAN BELIEF NETWORKS: AN APPROACH BASED ON THE MDL PRINCIPLEComputational Intelligence, 1994
- Inductive Logic Programming: Theory and methodsThe Journal of Logic Programming, 1994
- A Language and Program for Complex Bayesian ModellingJournal of the Royal Statistical Society: Series D (The Statistician), 1994
- Learning Bayesian Networks: The Combination of Knowledge and Statistical DataPublished by Elsevier ,1994
- Probabilistic Horn abduction and Bayesian networksArtificial Intelligence, 1993