L-modified ILP evaluation functions for positive-only biological grammar learning
Mamer, T, Bryant, CH and McCall, JM 2008, 'L-modified ILP evaluation functions for positive-only biological grammar learning' , in: Inductive logic programming , Lecture notes in artificial intelligence (5194) , Springer-Verlag, Berlin / Heidelberg, Germany, pp. 176-191.
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We identify a shortcoming of a standard positive-only clause evaluation function within the context of learning biological grammars. To overcome this shortcoming we propose L-modification, a modification to this evaluation function such that the lengths of individual examples are considered. We use a set of bio-sequences known as neuropeptide precursor middles (NPP-middles). Using L-modification to learn from these NPP-middles results in induced grammars that have a better performance than that achieved when using the standard positive-only clause evaluation function. We also show that L-modification improves the performance of induced grammars when learning on short, medium or long NPPs-middles. A potential disadvantage of L-modification is discussed. Finally, we show that, as the limit on the search space size increases, the greater is the increase in predictive performance arising from L-modification.
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