other · Underline Science Inc. · 2021
Probabilistic Inductive Logic Programming
24th European Conference on Artificial Intelligence 2020, Riguzzi, Fabrizio
Cited by 0Open access
Abstract
The combination of logic and probability is very useful for modeling domains with complex and uncertain relationships among entities. Machine learning approaches based on such combinations have recently achieved important results, originating the fields of Statistical Relational Learning, Probabilistic Inductive Logic Programming and, more generally, Statistical Relational Artificial Intelligence. The tutorial will concentrate on Probabilistic Logic Programming, a form of Probabilistic Programming that is receiving an increasing attention for its ability to combine powerful knowledge representation with Turing completeness. This tutorial will introduce probabilistic logic programming and overview the main systems for learning models in these formalisms both in terms of parameters and of structure. The tutorial includes a significant hands-on experience with the systems ProbLog2 and cplint using the web applications https://dtai.cs.kuleuven.be/problog/ and http://cplint.eu that the attendants can access with their notebooks via wifi.
Cite this paper
2020, T. E. C. O. A. I., & Riguzzi, F. (2021). Probabilistic Inductive Logic Programming. Underline Science Inc.. https://doi.org/10.48448/wpj3-zc60
2020, 24th European Conference on Artificial Intelligence, and Fabrizio Riguzzi. “Probabilistic Inductive Logic Programming.” Underline Science Inc., 2021, https://doi.org/10.48448/wpj3-zc60.
2020, 24th European Conference on Artificial Intelligence, and Fabrizio Riguzzi. 2021. “Probabilistic Inductive Logic Programming.” Underline Science Inc.. https://doi.org/10.48448/wpj3-zc60.
2020, T.E.C.O.A.I. and Riguzzi, F. (2021) ‘Probabilistic Inductive Logic Programming’, Underline Science Inc.. Available at: https://doi.org/10.48448/wpj3-zc60.
@misc{20202021probabilistic,
title = {{Probabilistic Inductive Logic Programming}},
author = {2020, 24th European Conference on Artificial Intelligence and Riguzzi, Fabrizio},
journal = {Underline Science Inc.},
year = {2021},
doi = {10.48448/wpj3-zc60}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.