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Biases and their effects in inductive logic programming

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (1994) 784 LNCS 431-434
DOI: 10.1007/3-540-57868-4_91
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Abstract

The shift from attribute-value based hypothesis languages to Horn clause logic as in Inductive Logic Programming (ILP) results in a very complex hypothesis space. In this paper, we study how the basic constituents of biases reduce the size of the hypothesis space in ILP.

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Tausend, B. (1994). Biases and their effects in inductive logic programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 784 LNCS, pp. 431–434). Springer Verlag. https://doi.org/10.1007/3-540-57868-4_91

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