Probabilistic (logic) programming concepts.
- Published in:
- Machine Learning, 2015, v. 100, n. 1, p. 5, doi. 10.1007/s10994-015-5494-z
- By:
- Publication type:
- Article
Works matching IS 08856125 AND DT 2015 AND VI 100 AND IP 1
Results: 6
1
2
Efficient inference and learning in a large knowledge base.
- Published in:
- Machine Learning, 2015, v. 100, n. 1, p. 101, doi. 10.1007/s10994-015-5488-x
- By:
- Publication type:
- Article
3
Guest editors' introduction: special issue on Inductive Logic Programming and on Multi-Relational Learning.
- Published in:
- 2015
- By:
- Publication type:
- Editorial
4
Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases.
- Published in:
- Machine Learning, 2015, v. 100, n. 1, p. 75, doi. 10.1007/s10994-015-5481-4
- By:
- Publication type:
- Article
5
Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited.
- Published in:
- Machine Learning, 2015, v. 100, n. 1, p. 49, doi. 10.1007/s10994-014-5471-y
- By:
- Publication type:
- Article
6
Bandit-based Monte-Carlo structure learning of probabilistic logic programs.
- Published in:
- Machine Learning, 2015, v. 100, n. 1, p. 127, doi. 10.1007/s10994-015-5510-3
- By:
- Publication type:
- Article