公开(公告)号：US12008446B2

公开(公告)日：2024-06-11

申请号：US17972164

申请日：2022-10-24

Applicant: Howso Incorporated

Inventor： Christopher James Hazard ,  Michael Resnick ,  Ravisutha Sakrepatna Srinivasamurthy ,  David R. Cheeseman ,  Valeri A. Korobov ,  Martin James Koistinen ,  Matthew Chase Fulp

IPC: G06F15/16 ,  G06F16/22 ,  G06N5/04 ,  G06N20/00

CPC classification number: G06N20/00 ,  G06F16/2282 ,  G06N5/04

Abstract: Techniques for synthetic data generation in computer-based reasoning systems are discussed and include receiving a request for generation of synthetic data based on a set of training data cases. One or more focal training data cases are determined. For undetermined features (either all of them or those that are not subject to conditions), a value for the feature is determined based on the focal cases. In some embodiments, the generation of synthetic data may be conditioned on values of features, preserved features, such as unique identifiers, previous-in-time features, and using the other techniques discussed herein.

公开(公告)号：US20240386323A1

公开(公告)日：2024-11-21

申请号：US18651263

申请日：2024-04-30

Applicant: Howso Incorporated

Inventor： Christopher James Hazard ,  Michael Resnick ,  Ravisutha Sakrepatna Srinivasamurthy ,  David R. Cheeseman ,  Valeri A. Korobov ,  Martin James Koistinen ,  Matthew Chase Fulp

IPC: G06N20/00 ,  G06F16/22 ,  G06N5/04

Abstract: Techniques for synthetic data generation in computer-based reasoning systems are discussed and include receiving a request for generation of synthetic data based on a set of training data cases. One or more focal training data cases are determined. For undetermined features (either all of them or those that are not subject to conditions), a value for the feature is determined based on the focal cases. In some embodiments, the generation of synthetic data may be conditioned on values of features, preserved features, such as unique identifiers, previous-in-time features, and using the other techniques discussed herein.