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US Patent 11494693 Machine learning model re-training based on distributed feedback
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Patent
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Date Filed
May 31, 2019
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Date of Patent
November 8, 2022
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Patent Application Number
16428540
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Patent Citations
US Patent 10162850 Clause discovery for validation of documents
US Patent 10339468 Curating training data for incremental re-training of a predictive model
US Patent 10523682 System and method for intelligent agents for decision support in network identity graph based identity management artificial intelligence systems
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US Patent 10916333 Artificial intelligence system for enhancing data sets used for training machine learning-based classifiers
US Patent 10931692 Filtering mechanism to reduce false positives of ML-based anomaly detectors and classifiers
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US Patent 10977575 Machine learning auto completion of fields
US Patent 10938828 System and method for predictive platforms in identity management artificial intelligence systems using analysis of network identity graphs
US Patent 10990850 Knowledge distillation and automatic model retraining via edge device sample collection
US Patent 10019788 Machine-learning measurements of quantitative feature attributes
US Patent 10063434 Classifying applications or activities based on network behavior
Patent Inventor Names
Joseph D. Pezzillo
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Daniel Burcaw
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Patent Jurisdiction
United States Patent and Trademark Office
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Patent Number
11494693
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Patent Primary Examiner
Michael Won
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CPC Code
H04L 67/22
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H04L 41/16
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G06N 20/00
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H04N 21/466
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G06F 7/023
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H04N 21/251
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G06N 5/048
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H04L 67/10
0
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