TRBoost: a generic gradient boosting machine based on trust-region method
| dc.contributor.author | Luo, J | |
| dc.contributor.author | Wei, Z | |
| dc.contributor.author | Man, J | |
| dc.contributor.author | Xu, S | |
| dc.date.accessioned | 2023-09-21T06:40:03Z | |
| dc.date.available | 2023-09-21T06:40:03Z | |
| dc.date.updated | 2023-09-21T06:40:03Z | |
| dc.identifier.issn | 0924-669X | |
| dc.identifier.issn | 1573-7497 | |
| dc.identifier.uri | ||
| dc.language | en | |
| dc.publisher | Springer Science and Business Media LLC | |
| dc.relation.ispartof | Applied Intelligence | |
| dc.relation.isversionof | 10.1007/s10489-023-05000-w | |
| dc.title | TRBoost: a generic gradient boosting machine based on trust-region method | |
| dc.type | Journal article | |
| duke.contributor.orcid | Xu, S|0000-0002-8207-7313 | |
| pubs.organisational-group | Duke | |
| pubs.organisational-group | Duke Kunshan University | |
| pubs.organisational-group | DKU Faculty | |
| pubs.publication-status | Published online |
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