Learning genic interactions without expert domain knowledge: Comparison of different ILP algorithms.

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Authors

POPELÍNSKÝ Lubomír BLAŤÁK Jan

Year of publication 2005
Type Article in Proceedings
Conference Proceedings of ICML05 workshop on Learning Language in Logic (LLL05)
MU Faculty or unit

Faculty of Informatics

Citation
Field Informatics
Keywords machine learning; genic interactions; ILP
Description A novel two-step method is proposed in which rules for processing simple examples (sentences that contain a single pair of terms from the dictionary) are learned separately. % We also describe an extension of domain knowledge when no domain expert is available, % We show that this two-step method performs better on the test set than other learning algorithms.
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