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US Patent 7792353 Retraining a machine-learning classifier using re-labeled training samples

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
7792353
Date of Patent
September 7, 2010
Patent Application Number
11555036
Date Filed
October 31, 2006
Patent Citations Received
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US Patent 12079887 Graphical representation of a complex task
0
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US Patent 11886514 Machine learning segmentation methods and systems
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US Patent 11924151 Methods and systems for analysis and/or classification of electronic information based on objects present in the electronic information
0
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US Patent 11977847 Dynamically updated text classifier
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US Patent 11715167 Graphical representation of a complex task
0
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US Patent 11755949 Multi-platform machine learning systems
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US Patent 11775996 Systems and methods for features engineering
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US Patent 11874850 Relationship analysis and mapping for interrelated multi-layered datasets
0
...
Patent Primary Examiner
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Daniel G Mariam
Patent abstract

Provided are systems, methods and techniques for machine learning. In one representative embodiment, a training set that includes training samples and corresponding assigned classification labels is obtained, and an automated classifier is trained against the training set. At least one of the training samples is selected and confirmation/re-labeling of it is requested. In response, a reply classification label is received and is used to retrain the automated classifier.

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