Hinge Regression Tree offers novel Newton method for oblique regression tree splitting

Researchers have introduced the Hinge Regression Tree (HRT), a novel method for creating oblique regression trees. HRT reframes the split-finding process as a non-linear least-squares problem, enabling efficient optimization through a damped Newton method. The paper demonstrates that HRT's model class is a universal approximator and shows competitive performance against existing single-tree baselines on various benchmarks. AI

影响 Introduces a new algorithmic approach for oblique regression trees, potentially improving model interpretability and performance.

排序理由 This is a research paper detailing a new algorithmic approach for oblique regression trees.

在 arXiv cs.LG 阅读 →

• arXiv
• Hinge Regression Tree
• Jun Xu

• 论文
• 其他

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →