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Abstract
High dimensional feature space could potentially hinder the efficiency and performance for machine learning, and high correlations between features may further increase the redundancy and diminish performance of learning algorithms. Domain ontology provides relationships and similarities between con
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 10:06 |
| Last Modified: | 17 Apr 2026 20:47 |
| URI: | http://eprints.eai.eu/id/eprint/10672 |
