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...
| Τόπος έκδοσης: | Machine learning. 57, 3 (2004). |
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| Κύριος συγγραφέας: | |
| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Θέματα: |