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Czech Technical University Faculty of Electrical Engineering Department of Cybernetics Masters thesisRectifying Probabilistic Predictions of Neural Networks. Then ANH Supervisor: Mgr. Oleksandr Shekhovtsov,
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01
Identify the probabilistic predictions that need to be rectified.
02
Gather additional data or information that can help improve the accuracy of the predictions.
03
Analyze the existing predictions and compare them to the newly gathered data.
04
Adjust the predictions based on the analysis and new information.
05
Validate the rectified predictions using relevant metrics or evaluation methods.
06
Communicate the rectified predictions to stakeholders or decision-makers.

Who needs rectifying probabilistic predictions of?

01
Organizations that rely on accurate predictive models for decision-making purposes.
02
Researchers or scientists looking to improve the reliability of their probabilistic forecasts.
03
Individuals or teams working on projects where accurate predictions are crucial for success.
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Rectifying probabilistic predictions is the process of correcting and improving the accuracy of uncertain forecasts.
Anyone responsible for making probabilistic predictions may be required to file rectifying predictions.
Rectifying probabilistic predictions can be filled out by reviewing the original predictions, identifying errors or inaccuracies, and making necessary adjustments.
The purpose of rectifying probabilistic predictions is to ensure that forecasted outcomes are as accurate and reliable as possible.
Rectifying probabilistic predictions may require reporting on the original predictions, the corrections made, and the reasoning behind these adjustments.
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