gpt -st
A Supplementary Material
In the supplementary material, we provide additional information and details in A.1. This section covers the introduction of data, key parameter settings, comparisons with baselines, optimization methods, and the algorithm process of our method. The statistical information of the aforementioned four real-world datasets is presented in Table 4. These datasets primarily consist of daily spatio-temporal statistics in the United States. We perform 2 dynamic routing iterations.
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.70)
Country:
- Asia > Myanmar > Tanintharyi Region > Dawei (0.04)
- North America > United States > California > Los Angeles County (0.04)
- Asia > China > Hong Kong (0.04)
- Asia > China > Heilongjiang Province > Daqing (0.04)
Industry:
- Transportation (1.00)
- Consumer Products & Services > Travel (0.46)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.70)
Country:
- Asia > Myanmar > Tanintharyi Region > Dawei (0.04)
- North America > United States > California > Los Angeles County (0.04)
- Asia > China > Hong Kong (0.04)
- Asia > China > Heilongjiang Province > Daqing (0.04)
Industry:
- Transportation (1.00)
- Consumer Products & Services > Travel (0.46)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)