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US Patent 10360220 Classification for asymmetric error costs
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Patent
Date Filed
December 14, 2015
Date of Patent
July 23, 2019
Patent Application Number
14968750
Patent Citations Received
US Patent 12088565 Systems and methods for privacy preserving training and inference of decentralized recommendation systems from decentralized data
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US Patent 12019704 Systems and methods for encrypting data and algorithms
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US Patent 12019703 Systems and methods for providing a marketplace where data and algorithms can be chosen and interact via encryption
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US Patent 12026219 Systems and methods for efficient computations on split data and split algorithms
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US Patent 10534799 Feature transformation and missing values
US Patent 11568317 Enhanced gradient boosting tree for risk and fraud modeling
US Patent 10956426 Classification for asymmetric error costs
US Patent 11792646 Systems and methods for providing a multi-party computation system for neural networks
US Patent 11449789 System and method for hierarchical classification
US Patent 11843586 Systems and methods for providing a modified loss function in federated-split learning
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Patent Jurisdiction
United States Patent and Trademark Office
Patent Number
10360220
Patent Primary Examiner
Alan Chen
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