Evolutionary algorithms have emerged as a robust alternative to traditional greedy approaches for decision tree induction. By mimicking the natural selection process, these algorithms iterate over a ...

Other machine learning algorithms examples would include, but are not limited to: association rule learning; boosting; bootstrap aggregation; computer vision; decision tree; clustering; neural ...

Hugo Duminil-Copin, Aran Raoufi, Vincent Tassion, Sharp phase transition for the random-cluster and Potts models via decision trees, Annals of Mathematics, Vol. 189, No. 1 (January 2019), pp. 75-99 ...

This article considers a measure of variable importance frequently used in variable-selection methods based on decision trees and tree-based ensemble models. These models include CART, random forests, ...

What are the advantages of logistic regression over decision trees? This question was originally answered on Quora by Claudia Perlich.

Data mining algorithm selection: decision trees The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well ...

An innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move. In 2018, Google DeepMind's AlphaZero program taught itself the games of ...