Transferability

Transferability refers to the capability of a model or feature in time series analysis to be transferred from one task to another related task. Its objective is to enhance the performance and efficiency of new tasks by leveraging the learning outcomes from existing tasks, thereby reducing training time and data requirements. In practical applications, transferability can significantly improve the accuracy and robustness of cross-domain time series forecasting, anomaly detection, and classification, making it highly valuable.