A Novel Gradient-Based Method for Decision Trees Optimizing Arbitrary Differential Loss Functions
There are many approaches for training decision trees. This work introduces a novel gradient-based method for constructing decision trees that optimize arbitrary differentiable loss functions, overcoming the limitations of heuristic splitting rules. Unlike traditional approaches that rely on heurist...
Furkejuvvon:
| Váldodahkkit: | , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
MDPI AG
2026-04-01
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| Ráidu: | Mathematics |
| Fáttát: | |
| Liŋkkat: | https://www.mdpi.com/2227-7390/14/8/1379 |
| Fáddágilkorat: |
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