Regularization in Relevance Learning Vector Quantization Using l one Norms
Data and Resources
Additional Info
| Field | Value |
|---|---|
| Source | Proceedings of the 21-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013) |
| Author | Riedel, Martin, Kästner, Marika, Rossi, Fabrice, Villmann, Thomas |
| Maintainer | CCSD |
| Last Updated | May 9, 2026, 07:43 (UTC) |
| Created | May 9, 2026, 07:43 (UTC) |
| Identifier | hal-00874854 |
| Language | en |
| Rights | https://about.hal.science/hal-authorisation-v1/ |
| contributor | Department of Mathematics, Natural and Computer Sciences ; Dep. of Mathematics, Natural and Computer Sciences |
| coverage | Bruges, Belgium |
| creator | Riedel, Martin |
| date | 2013-04-24T00:00:00 |
| harvest_object_id | d78403f6-872c-48f2-a4bb-e9fd9260cfff |
| harvest_source_id | 3374d638-d20b-4672-ba96-a23232d55657 |
| harvest_source_title | test moissonnage SELUNE |
| metadata_modified | 2023-04-17T00:00:00 |
| relation | info:eu-repo/semantics/altIdentifier/arxiv/1310.5095 |
| set_spec | type:COMM |