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Forecasting visitor arrivals is of great importance since it is an indicator of the tourism demand and can serve as the reference for the government policies about tourism and the business strategies of tourism industries. So an accurate forecasting model must be developed. There are two machine learning algorithms, including support vector machine and neural network, which are include in the comparison...
Survival prediction on time-to-event data associated with patients is crucial in clinical research. Cox-type regression models are widely used for such prediction, but their performance for practical survival prediction suffers due to their use of a maximum partial likelihood estimator, which undermines the effectiveness and robustness of such models. To address this problem, we propose to maximize...
Nowadays mass passenger flow phenomena at different degrees appear in many big cities with large-scale transit network, and those phenomena tend to be regular and complicated. As the most popular public transport in Taipei, Mass Rapid Transit (MRT) is a quite effective traffic tool to relieve the pressure of passenger congestion, especially in rush hours. In this paper, a MRT passenger flow prediction...
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