Spatial Temporal Filters: A Cluster-based Regression Model for Time-Series/Sequential Data

This video illustrates the simulation results of our paper entitled "Safe Data-Driven Predictive Control". We compare our proposed Spatial Temporal Filters (STFs), which is a cluster-based regression model, with Deep Neural Networks and Gaussian Process Regression for forecasting time-series/sequential data. STF enables us to achieve a unique blend of predictability, interpretability, and adaptability.

Видео Spatial Temporal Filters: A Cluster-based Regression Model for Time-Series/Sequential Data канала Ramin Vahidimoghaddam