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Details for article 3 of 10 found articles
| Title: |
Clustering and instance based learning in first order logic |
| Author: |
Jan Ramon |
| Appeared in: |
AI communications |
| Paging: | Volume 15 (2003) nr. 4 pages 217-218 |
| Year: |
2003-01-22 |
| Contents: |
Instance based learning and clustering are popular methods in propositional machine learning. Both methods use a notion of similarity between objects. This dissertation investigates these methods in a relational setting. First, a number of new metrics are proposed. Next, these metrics are used to upgrade clustering and instance based learning to first order logic. |
| Publisher: |
IOS Press |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 3 of 10 found articles
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