Generalisation through negation and predicate invention
The ability to generalise from a small number of examples is a fundamental challenge in machine learning. To tackle this challenge, we introduce an inductive logic programming (ILP) approach that combines negation and predicate invention. Combining these two features allows an ILP system to generali...
主要な著者: | Cerna, DM, Cropper, A |
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フォーマット: | Conference item |
言語: | English |
出版事項: |
Association for the Advancement of Artificial Intelligence
2024
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