A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
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 ...
Abstract: Narrow passage scenarios pose significant challenges for path planning, especially for tasks requiring real-time performance. Traditional asymptotically converging sampling-based planners ...
Leveraging Machine Learning Algorithms for Threat Detection Using AI-Enhanced Cybersecurity Datasets
Abstract: This study uses an AI-enhanced cybersecurity events dataset to utilize the effectiveness of leveraging machine learning algorithms Logistic Regression, Decision Tree, and Random Forest for ...
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