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

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Trees may look passive, but they’re equipped with complex defense systems honed over millions of years. Many species release toxic compounds, bitter sap, or airborne chemicals to deter insects and ...

Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...

If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a ...

Collective decision-making is hardly a perfect science. Broken processes, data overload, information asymmetry, and other inequities only compound the challenges that come from large, disparate ...

A federal district court in San Francisco ruled that training AI models with copyright-protected works is fair use. 1 On June 23, 2025, Judge William Alsup ruled that Anthropic did not infringe the ...

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 ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...

Mass General Brigham researchers see value in a hybrid approach that makes use of generative artificial intelligence to diagnose patients. Comparing two large language models (LLMs) – OpenAI's GPT-4 ...