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US Patent 11715036 Updating weight values in a machine learning system

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Is a
Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
117150360
Date of Patent
August 1, 2023
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Patent Application Number
169130820
Date Filed
June 26, 2020
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Patent Citations
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US Patent 10896382 Inverse reinforcement learning by density ratio estimation
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US Patent 10977558 Data encoding and classification
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US Patent 10896383 Direct inverse reinforcement learning with density ratio estimation
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US Patent 11288568 Reinforcement learning using advantage estimates
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US Patent 10325218 Constructing quantum process for quantum processors
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US Patent 10510003 Stochastic gradient boosting for deep neural networks
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Patent Primary Examiner
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Miranda M Huang
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CPC Code
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G06N 7/00
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G06N 3/08
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G06N 3/0472
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G06N 3/0445
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G06N 10/00
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G06N 20/00
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A machine learning system includes a learning section and an operating section including a memory. The operating section holds a required accuracy, and an internal state and a weight value of a learner in the memory and executes calculation processing by using data input to the machine learning system and the weight value held in the memory to update the internal state. An accuracy of the internal state is calculated from a result of the calculation processing and an evaluation value is calculated using the data input to the machine learning system, the weight value, and the updated internal state held in the memory when the calculated accuracy is higher than the required accuracy. The evaluation value is transmitted to the learning section, which updates the weight value by using the evaluation value and notifies the number of times of updating the weight value to the operating section.

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