Compact Representation of Knowledge Bases in Inductive Logic Programming.
In many applications of Inductive Logic Programming (ILP), learning occurs from a knowledge base that contains a large number of examples. Storing such a knowledge base may consume a lot of memory. Often, there is a substantial overlap of information between different examples. To reduce memory cons...
| Published in: | Machine learning. 57, 3 (2004). |
|---|---|
| Main Author: | |
| Format: | Article |
| Language: | English |
| Subjects: |