Applying Predictive Clustering Trees to the Inductive Logic Programming 2005 Challenge Data

Abstract

This paper presents our submission to the Inductive Logic Programming 2005 Challenge. The goal of this challenge is to build accurate models predicting gene function in the genome of the yeast Saccharomyces cerevisiae based on relational homology and secondary structure data. The approach that we follow consists of two steps. In the first step, the data is… (More)

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Cite this paper

@inproceedings{Struyf2005ApplyingPC, title={Applying Predictive Clustering Trees to the Inductive Logic Programming 2005 Challenge Data}, author={Jan Struyf and Celine Vens and Tom Croonenborghs and Saso Dzeroski and Hendrik Blockeel}, year={2005} }