Sunday - June 2, 2024

Training a Classification Model Using Labeled Training Data That Does Not Overlap With Target Classifications for the Classification Model

2024-04-02

ALEXANDRIA, Virginia, April 2 -- MAPLEBEAR INC., San Francisco, California has been assigned a patent (No. US 11947632 B2, initially filed Aug. 17, 2021) developed by four inventors Saurav Manchanda, Minneapolis, Minnesota; Krishnakumar Subramanian, Cupertino, California; Haixun Wang, Palo Alto, California; and Min Xie, Santa Clara, California, for "Training a classification model using labeled training data that does not overlap with target classifications for the classification model." . . .

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Training a Classification Model Using Labeled Training Data That Does Not Overlap With Target Classifications for the Classification Model

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