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About Concepts of ILP
The document discusses inductive logic programming (ILP), which is at the intersection of logic programming and inductive machine learning. ILP aims to induce logic programs/hypotheses from observations using an inverse entailment operator. While ILP has attractive features like incorporating background knowledge to guide hypothesis search, it also faces practical difficulties like intractability of the search space and inability to handle noisy data. The document also discusses the relevance of ILP to process mining and references foundational and recent works on ILP.
Detailed Information
| Author: | ['Mithun Pant'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 15 |
| Language: | English |
| Format: | |
| Price: | FREE |
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