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US 10,482,378 B1Granted
System and method for noise-based training of a prediction model
AssigneeAivitae LLC
InventorsBob Sueh-chien Hu, Joseph Yitang Cheng
Life of this patent
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AssigneeAivitae LLC
InventorsBob Sueh-chien Hu, Joseph Yitang Cheng
Estimating the term…
In some embodiments, noise data may be used to train a neural network (or other prediction model). In some embodiments, input noise data may be obtained and provided to a prediction model to obtain an output related to the input noise data (e.g., the output being a prediction related to the input noise data). One or more target output indications may be provided as reference feedback to the prediction model to update one or more portions of the prediction model, wherein the one or more portions of the prediction model are updated based on the related output and the target indications. Subsequent to the portions of the prediction model being updated, a data item may be provided to the prediction model to obtain a prediction related to the data item (e.g., a different version of the data item, a location of an aspect in the data item, etc.).
A method for training neural networks, the method being implemented by one or more processors configured to execute one or more computer program instructions, the method comprising:
A system comprising:
One or more non-transitory, computer-readable media storing instructions that, when executed, cause one or more processors to perform operations comprising:
Dependencies are inferred from the claim text.