Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...
“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...
Abstract: Traffic flow prediction plays a crucial role in Intelligent Transportation Systems (ITS), as it substantially enhances traffic management efficiency, alleviates congestion, and improves road ...
In this course, students will learn the theoretical foundations of imprecise probability (IP), its ability to capture the complex uncertainties in real-world systems, and its practical applications in ...
Abstract: Traffic flow imputation aims to estimate missing flow values within a traffic network. While machine learning methods have been widely applied to this challenge and outperformed conventional ...
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