Recommended Reading
Blockeel, H., & De Raedt, L. (1998). Top-down induction of first order logical decision trees. Artificial Intelligence, 101(1–2), 285–297.
De Raedt, L. (1998). Attribute-value learning versus inductive logic programming: the missing links (extended abstract). In D. Page (Ed.), Proceedings of the eighth international conference on inductive logic programming. Lecture notes in artificial intelligence (Vol. 1446, pp. 1–8). Berlin: Springer.
De Raedt, L. (2008). Logical and relational learning. Berlin: Springer.
Džeroski, S., & Lavrač, N. (Ed.). (2001). Relational data mining. Berlin: Springer.
Getoor, L., Friedman, N., Koller, D., & Pfeffer, A. (2001). Learning probabilistic relational models. In S. Dzeroski & N. Lavrac (Eds.), Relational data mining (pp. 307–334). Berlin: Springer.
Kersting, K., & De Raedt, L. (2001). Towards combining inductive logic programming and Bayesian networks. In C. Rouveirol & M. Sebag (Eds.), Proceedings of the 11th international conference on inductive logic programmingLecture notes in computer science (Vol. 2157, pp. 118–131). Berlin: Springer.
Lloyd, J. W. (2003). Logic for learning. Berlin: Springer.
Mitchell, T. (1997). Machine Learning. McGraw Hill.
Richardson, M., & Domingos, P. (2006). Markov logic networks. Machine Learning, 62(1–2), 107–136.
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Blockeel, H. (2011). Hypothesis Language. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_372
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