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US Patent 11853017 Machine learning optimization framework

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Contents

Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
118530171
Patent Inventor Names
Hitham Ahmed Assem Aly Salama1
Teodora Buda1
Patrick Joseph O'Sullivan1
Lei Xu1
Date of Patent
December 26, 2023
1
Patent Application Number
158145651
Date Filed
November 16, 2017
1
Patent Citations
‌
US Patent 10348810 Scalable distributed computations utilizing multiple distinct clouds
1
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US Patent 10257275 Tuning software execution environments using Bayesian models
1
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US Patent 10404787 Scalable distributed data streaming computations across multiple data processing clusters
1
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US Patent 7984112 Optimizing batch size for prefetching data over wide area networks
1
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US Patent 8595154 Dynamic predictive modeling platform
1
Patent Primary Examiner
‌
Ann J Lo
1
CPC Code
‌
G06N 7/02
1
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G06N 5/02
1
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G05B 13/021
1
Patent abstract

Techniques that facilitate machine learning optimization are provided. In one example, a system includes a computational resource component, a batch interval component, and a machine learning component. The computational resource component collects computational resource data associated with a group of computing devices that performs a machine learning process. The batch interval component determines, based on the computational resource data, batch interval data indicative of a time interval to collect data for the machine learning process. The machine learning component provides the batch interval data to the group of computing devices to facilitate execution of the machine learning process based on the batch interval data.

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