View source for Gradient Boosting-based Tree (GBT) Learning Algorithm

A [[Gradient Boosting-based Tree (GBT) Learning Algorithm]] is a [[decision tree learning algorithm]] that is a [[gradient boosting-based learning algorithm]] which can be implemented by a [[Gradient Boosted Decision Tree Learning System]] (to solve a [[gradient boosted decision tree learning task]]).
* <B>Context:</B>
** It can be applied by a [[Gradient Boosting-based Decision Tree Learning System]].
** It can range from being a [[Gradient Boosting-based Classification Tree Learning Algorithm]] to being a [[Gradient Boosting-based Regression Tree Learning Algorithm]].
* <B>Example(s):</B>
** [[CART-based Gradient Tree Boosted Algorithm]] (for [[CART]]).
** …
* <B>Counter-Example(s):</B>
** [[Random Forests Algorithm]].
* <B>See:</B> [[Decision Tree]], [[Indicator Notation]], [[Interaction (Statistics)]], [[Decision Stump]].

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