Decision tree and linear discrimination analysis (LDA) algorithms were employed as core design tools to identify the most effective sensing units, enabling the development of a streamlined N-acetyl- l ...

Decision tree regression is a fundamental technique that can be used by itself, and is also the basis for powerful ensemble techniques (a collection of many decision trees), notably, AdaBoost ...

Despite the many methods available for feature representation, efficiently utilizing rich, high-dimensional information remains a significant challenge. Our work introduces ChemXTree, a novel ...

About Eigen-analysis of the tree graph of a directed graph, particularly the directed complete graph ...

This is the power of graph theory. However, graph theory doesn’t stop at social networks. It finds applications in everything from brain signal processing to solving Sudoku and airline scheduling.

This method determines the maximum a posteriori tree by expertly assessing the posterior distribution of Bayesian Classification and Regression Trees (BCART) created for a specific dataset. The study ...

Decision tree is a commonly used machine learning classification method. When generating a decision tree, it is always in the direction of reducing information entropy. Hence, the construction of ...