Abstract: Decision trees in machine learning achieved satisfactory performance in classification. Decision trees offer the advantage of handling high-dimensional and complexly correlated data through ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Fans have asked, and the Minnesota Timberwolves have finally answered: The trees are back in Minnesota. The Kevin Garnett-era jersey and court — which were most known for their green tree-lined trim — ...

Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...

Decision trees are relatively simple but highly successful types of supervised learners. Decision trees take a vector of attribute values as input and return a decision. [Russell, Norvig, AIMA 3rd Ed.

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...

In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving economic ...

UPDATE: There is added confusion over Silent Hill f's classification in Australia. The rating reported below has been removed, and the Australian Classification Board has confirmed it has not actually ...

git clone https://github.gatech.edu/202408A/a4_[YOUR GT GITHUB USER] And for OMSCS students git clone https://github.gatech.edu/202408001/a4_[YOUR GT GITHUB USER] You ...