Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm

Expert Systems with Applications(2022)

引用 9|浏览26
暂无评分
摘要
•Multi-step ahead demand forecasting is an important and cutting-edge research topic.•An effective forecasting approach incorporating privileged information is proposed.•The new paradigm (termed learning using privileged information (LUPI)) is imployed.•LUPI can efficiently grasp and model nonlinear characteristics of tourism data.•The empirical results verify its superiority and robustness with different samples.
更多
查看译文
关键词
Tourism demand,Multi-step ahead forecasting,Privileged information,Machine learning,Kernel random vector functional link network
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要