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...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Andrei Konstantinov, Lev Utkin, Vladimir Muliukha
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2026-04-01
Цуврал:	Mathematics
Нөхцлүүд:	gradient-based optimization decision trees survival analysis classification regression
Онлайн хандалт:	https://www.mdpi.com/2227-7390/14/8/1379
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!