Since artificial neural networks allow modeling of nonlinear processes, they have turned into a very popular and useful tool for solving many problems such as classification, clustering, regression…
K. Kersting, and T. Raiko. Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI-05), page 300-307. Edinburgh, Scotland, (July 2005)
{. Flach, and N. Lachiche. Proceedings of the 9th International Workshop on Inductive Logic Programming (ILP-99), volume 1634 of LNAI, page 92--103. Bled, Slovenia, Springer, (1999)
D. Touretzky, J. Horty, and R. Thomason. Proceedings of the Tenth International Joint Conference on Artificial Intelligence, page 476--482. Los Altos, California, Morgan Kaufmann, (1987)
D. Fierens, J. Ramon, H. Blockeel, and M. Bruynooghe. Late-breaking papers of the 15th International Conference on Inductive Logic Programming (ILP-05), page 11--16. Bonn, Germany, Springer, (August 2005)
S. Lee, M. Maenner, and C. Heilig. (2018)cite arxiv:1804.06223Comment: This is just a preprint; the camer-ready version is under submission to a journal.
M. Smucker, J. Allan, and B. Carterette. CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, page 623--632. New York, NY, USA, ACM, (2007)
A. Puech, and {. Muggleton. Working Notes of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data (SRL-03), page 121--129. Acapulco, Mexico, (August 2003)
L. Console, D. Theseider Dupré, and P. Torasso. Working Notes AAAI Spring Symposium on Automated Abduction, page 72--76. Stanford University, (March 1990)