ILP for Bootstrapped Learning: A Layered Approach to Automating the ILP Set-Up Problem

Abstract

This paper introduces a new type of application for ILP called Bootstrapped Learning (BL). BL brings several challenges to ILP, including the need to (a) automate the “ILP setup” problem, (b) exploit the fact that a well-meaning teacher is providing pedagogically chosen examples and may be offering hints, (c) deal with small numbers of training examples and sometimes no explicit negative examples; and (d) "bootstrap", i.e., to automatically base learning in part on the results of earlier learning sessions.

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Cite this paper

@inproceedings{Natarajan2009ILPFB, title={ILP for Bootstrapped Learning: A Layered Approach to Automating the ILP Set-Up Problem}, author={Swaminathan Natarajan and Gautam Kunapuli and CIAN O’REILLY and R. Maclin and Troy Walker and David C Page and Jude Shavlik}, year={2009} }