Abstract: Because of their transparency, interpretability, and efficiency in classification tasks, decision tree algorithms are the foundation of many Business Intelligence (BI) and Analytics ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a table. Instead of chemical elements, the new chart arranges learning ...

There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...

For example, a decision tree regression model prediction might be, "If employee age is greater than 43.0 and age is less than or equal to 51.5 and years-experience is less than or equal to 20.0 and ...

The ruling allowed immigration agents to stop people for reasons that lower courts had deemed likely unconstitutional. By Charlie Savage Reporting from Washington The Supreme Court on Monday ...

Abstract: This paper presents a comparative analysis of various decision tree algorithms applied to the task of predicting match outcomes in Defense of the Ancients 2, a complex multiplayer online ...

Researchers have developed a new computer-aided diagnosis (CAD) system, BREAST-CAD, to improve breast cancer detection accuracy using machine learning algorithms and a real-time client-server ...

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 ...