Adaptive Base Class Boost for Multi-class Classification
| dc.creator | Li, Ping | |
| dc.date | 2008-11-08 | |
| dc.date.accessioned | 2026-07-07T10:17:03Z | |
| dc.date.available | 2026-07-07T10:17:03Z | |
| dc.description | We develop the concept of ABC-Boost (Adaptive Base Class Boost) for multi-class classification and present ABC-MART, a concrete implementation of ABC-Boost. The original MART (Multiple Additive Regression Trees) algorithm has been very successful in large-scale applications. For binary classification, ABC-MART recovers MART. For multi-class classification, ABC-MART considerably improves MART, as evaluated on several public data sets. | |
| dc.identifier | https://arxiv.org/abs/0811.1250 | |
| dc.identifier | http://arxiv.org/abs/0811.1250 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/173722 | |
| dc.subject | Machine Learning | |
| dc.subject | Information Retrieval | |
| dc.title | Adaptive Base Class Boost for Multi-class Classification | |
| dc.type | text |