Tesla, inc. (20250124286). GENERATING GROUND TRUTH FOR MACHINE LEARNING FROM TIME SERIES ELEMENTS
GENERATING GROUND TRUTH FOR MACHINE LEARNING FROM TIME SERIES ELEMENTS
Organization Name
Inventor(s)
Ashok Kumar Elluswamy of Sunnyvale CA US
Matthew Bauch of San Francisco CA US
Christopher Payne of San Francisco CA US
Andrej Karpathy of San Francisco CA US
Joseph Polin of San Francisco CA US
GENERATING GROUND TRUTH FOR MACHINE LEARNING FROM TIME SERIES ELEMENTS
This abstract first appeared for US patent application 20250124286 titled 'GENERATING GROUND TRUTH FOR MACHINE LEARNING FROM TIME SERIES ELEMENTS
Original Abstract Submitted
sensor data, including a group of time series elements, is received. a training data set is determined, including by determining for at least a selected time series element in the group of time series elements a corresponding ground truth. the corresponding ground truth is based on a plurality of time series elements in the group of time series elements. a processor is used to train a machine learning model using the training dataset.