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US Patent 7222127 Large scale machine learning systems and methods

Patent 7222127 was granted and assigned to Google on May, 2007 by the United States Patent and Trademark Office.

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Patent Citations Received

US Patent 11782915 Searchable index

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Patent Inventor Names

Georges R. Harik0

Jeremy Bem0

Joshua L. Levenberg0

Noam Shazeer0

Simon Tong0

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Patent abstract

A system for generating a model is provided. The system generates, or selects, candidate conditions and generates, or otherwise obtains, statistics regarding the candidate conditions. The system also forms rules based, at least in part, on the statistics and the candidate conditions and selectively adds the rules to the model.

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Patent Citations Received

US Patent 11699295 Machine learning for computing enabled systems and/or devices

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Patent Citations Received

US Patent 11663474 Artificially intelligent systems, devices, and methods for learning and/or using a device's circumstances for autonomous device operation

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Official Website

https://pdfpiw.uspto.gov/.piw?Docid=072221270

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US Patent 07222127 Large scale machine learning systems and methods US Patent 7222127 Large scale machine learning systems and methods

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Patent Number

072221270

Patent Number

72221270

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Is a

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Current Assignee

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Patent Jurisdiction

United States Patent and Trademark Office

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Patent Number

072221270

Date of Patent

May 22, 2007

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Patent Application Number

107345840

Date Filed

December 15, 2003

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Official Website

https://pdfpiw.uspto.gov/.piw?Docid=072221270

Patent Primary Examiner

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Website URL

https://pdfpiw.uspto.gov/.piw?Docid=07222127

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created this topic on 21 Nov, 2021

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US Patent 07222127 Large scale machine learning systems and methods

Infobox

Is a

Current assignee

Patent jurisdiction

United States Patent and Trademark Office

Patent number

07222127

Date of patent

May 22, 2007

Patent application number

10734584

Date Filed

December 15, 2003

Patent primary examiner

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