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...

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

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...

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

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

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

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...