1. A computer-implemented method comprising: receiving empirical sensor data from a capture device; applying portions of the sensor data to a plurality of trained machine learning systems to calculate a plurality of diverse predictions of parameters of a process describing how the sensor data is generated; selecting at least one of the predictions; and outputting the selected prediction to a system for controlling a computing device using the selected prediction and the process.