Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or...

A decision tree is a decision support hierarchical model that uses a tree-like model of decisions and their possible consequences, including chance event...

at each stage) is called a decision tree, and when applied in the area of machine learning is known as decision tree learning. Usually an attribute with...

compression technique in machine learning and search algorithms that reduces the size of decision trees by removing sections of the tree that are non-critical and...

typically simple decision trees. When a decision tree is the weak learner, the resulting algorithm is called gradient-boosted trees; it usually outperforms...

decision forests is an ensemble learning method for classification, regression and other tasks that works by creating a multitude of decision trees during...

An incremental decision tree algorithm is an online machine learning algorithm that outputs a decision tree. Many decision tree methods, such as C4.5,...

two types: Multi-relational decision tree learning (MRDTL) uses a supervised algorithm that is similar to a decision tree. Deep Feature Synthesis uses...

successful applications of deep learning are computer vision and speech recognition. Decision tree learning uses a decision tree as a predictive model to go...

An alternating decision tree (ADTree) is a machine learning method for classification. It generalizes decision trees and has connections to boosting....