Hierarchical Concept Learning by Fuzzy Semantic Cells
Concept modeling and learning have been important research topics in artificial intelligence and knowledge discovery. This paper studies a hierarchical concept learning method that requires a small amount of data to achieve competitive performances. The method starts from a set of fuzzy prototypes c...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
MDPI AG
2021
|
| Subjects: | |
| Online Access: | https://doaj.org/article/bff9272806ac4a3c8eedeec081cad52c |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|