公开(公告)号：US11645508B2

公开(公告)日：2023-05-09

申请号：US16002614

申请日：2018-06-07

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Sungju Hwang ,  Haebum Lee ,  Donghyun Na ,  Eunho Yang

IPC: G06N3/08 ,  G06F17/16 ,  G06N3/04 ,  G06N3/045

CPC classification number: G06N3/08 ,  G06F17/16 ,  G06N3/04 ,  G06N3/045

Abstract: A method for generating a trained model is provided. The method for generating a trained model includes: receiving a learning data; generating an asymmetric multi-task feature network including a parameter matrix of the trained model which permits an asymmetric knowledge transfer between tasks and a feedback matrix for a feedback connection from the tasks to features; computing a parameter matrix of the asymmetric multi-task feature network using the input learning data to minimize a predetermined objective function; and generating an asymmetric multi-task feature trained model using the computed parameter matrix as the parameter of the generated asymmetric multi-task feature network.