Learning programs by learning from failures
We describe an inductive logic programming (ILP) approach called learning from failures. In this approach, an ILP system (the learner) decomposes the learning problem into three separate stages: generate, test, and constrain. In the generate stage, the learner generates a hypothesis (a logic program...
Main Authors: | , |
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Format: | Journal article |
Language: | English |
Published: |
Springer
2021
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