Machine Learning Approach to Mobility Analyses
摘要
Machine learning techniques are based on stochastic models associated with parameter estimation from massive data. They have been applied to scientific fields as well as industries, including mobility analyses. In this chapter, we introduce several machine learning techniques for mobility analyses, that is, techniques to track agents in a video, to extract the relationship among agents, and to analyze graphs, especially focusing on multi-animal behavior analyses.