Dzeroski S., Todoroski L. & Urbancic T: Handling real numbers in inductive logic programming: A step towards better behavioural clones. In Machine Learning: ECML-95, Eds. Lavrac N & Wrobel S., Springer , Berlin Heidelberg New York, 1995. Home/Search Document Not in Database Summary Related Articles Check |
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Structural Regression Trees - Kramer (1996) (26 citations) (Correct)
....applied to this problem: FORS [15] builds a first order theory by a covering algorithm. The other approach, a combination of DINUS [16] and RETIS [14] transforms the learning problem into a propositional language, and subsequently applies a regression tree algorithm to the transformed problem [10]. The transformation, however, does not work for non determinate background knowledge, which is a strict limitation of the approach. In this paper we present Structural Regression Trees (SRT) a new algorithm for predicting numerical values from examples and relational background knowledge. SRT ....
S. Dzeroski, L. Todoroski, and T. Urbancic, `Handling real numbers in inductive logic programming: A step towards better behavioural clones', in Machine Learning: ECML-95, eds., N. Lavrac and S. Wrobel, pp. 283--286, Berlin Heidelberg New York, (1995). Springer.
Mining Model Trees: A Multi Relational Approach - Annalisa Appice Michelangelo (2003) (1 citation) (Correct)
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Dzeroski S., Todoroski L. & Urbancic T: Handling real numbers in inductive logic programming: A step towards better behavioural clones. In Machine Learning: ECML-95, Eds. Lavrac N & Wrobel S., Springer , Berlin Heidelberg New York, 1995.
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