Invention Grant
- Patent Title: Generating attribute-based samples
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Application No.: US16653737Application Date: 2019-10-15
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Publication No.: US11481626B2Publication Date: 2022-10-25
- Inventor: Payel Das , Tom D. J. Sercu , Kahini Wadhawan , Cicero Nogueira Dos Santos , Inkit Padhi , Sebastian Gehrmann
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Zilka-Kotab, P.C.
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04 ; G06F16/28 ; G06K9/62
Abstract:
A computer-implemented method according to one aspect includes training a latent variable model (LVM), utilizing labeled data and unlabeled data within a data set; training a classifier, utilizing the labeled data and associated labels within the data set; and generating new data having a predetermined set of labels, utilizing the trained LVM and the trained classifier.
Public/Granted literature
- US20210110255A1 GENERATING ATTRIBUTE-BASED SAMPLES Public/Granted day:2021-04-15
Information query
