GENERATING GROUND TRUTH FOR MACHINE LEARNING FROM TIME SERIES ELEMENTS
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 ti...
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| creator | POLIN, Joseph BAUCH, Matthew ELLUSWAMY, Ashok Kumar KARPATHY, Andrej PAYNE, Christopher |
| description | 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. |
| format | Patent |
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| subjects | INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
| title | GENERATING GROUND TRUTH FOR MACHINE LEARNING FROM TIME SERIES ELEMENTS |
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