Probabilistic Logic Programming in Action-Reference-Cited by-同舟云学术

Probabilistic Logic Programming in Action

Published:2017 Issue: Volume: Page:89-116
ISSN:0302-9743
Container-title:Towards Integrative Machine Learning and Knowledge Extraction
language:
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Author:

Fadja Arnaud Nguembang,Riguzzi Fabrizio

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-69775-8_5

Reference58 articles.

1. Alberti, M., Bellodi, E., Cota, G., Riguzzi, F., Zese, R.: cplint on SWISH: probabilistic logical inference with a web browser. Intell. Artif. 11(1), 47–64 (2017)

2. Bellodi, E., Lamma, E., Riguzzi, F., Costa, V.S., Zese, R.: Lifted variable elimination for probabilistic logic programming. Theor. Pract. Log. Prog. 14(4–5), 681–695 (2014)

3. Bellodi, E., Riguzzi, F.: Experimentation of an expectation maximization algorithm for probabilistic logic programs. Intell. Artif. 8(1), 3–18 (2012)

4. Bellodi, E., Riguzzi, F.: Expectation maximization over binary decision diagrams for probabilistic logic programs. Intell. Data Anal. 17(2), 343–363 (2013)

5. Bellodi, E., Riguzzi, F.: Structure learning of probabilistic logic programs by searching the clause space. Theor. Pract. Log. Prog. 15(2), 169–212 (2015)

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