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US Patent 12020161 Predicting lagging marker values
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Patent
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Date Filed
November 11, 2020
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Date of Patent
June 25, 2024
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Patent Application Number
17094841
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Patent Citations
US Patent 11663493 Method and system of dynamic model selection for time series forecasting
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US Patent 11568260 Exponential modeling with deep learning features
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US Patent 11630928 System and method to build and score predictive model for numerical attributes
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US Patent 8260627 System and method for creating, managing, evaluating, optimizing creating business partnership standards and creating reuseable knowledge and business intelligence for business partnerships and alliances
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US Patent 10936947 Recurrent neural network-based artificial intelligence system for time series predictions
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US Patent 11281969 Artificial intelligence system combining state space models and neural networks for time series forecasting
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US Patent 11367142 Systems and methods for clustering data to forecast risk and other metrics
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US Patent 11481627 Distributed learning of composite machine learning models
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Patent Inventor Names
Surabhi Srivastava
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Pranjalya Singh
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Patent Jurisdiction
United States Patent and Trademark Office
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Patent Number
12020161
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Patent Primary Examiner
Barbara M Level
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CPC Code
G06V 10/751
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G06Q 10/04
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G06N 3/082
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