METHOD OF CONTINUAL-LEARNING OF DATA SETS AND APPARATUS THEREOF

Patent №

US 11,620,529

Granted

2023-04-04

Filed 2019

Owner

LUNIT INC.

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16706570

This disclosure relates to a method of sequential machine learning of data sets and an apparatus thereof. The method may include generating a first machine learning model by generating a first feature space based on a first data set, generating first predictive label information based on the first feature space, performing machine learning on a relationship between the first data set and first label information related to a first data set, and performing machine learning on a relationship between the first predictive label information and the first feature space. The method may also include generating a second machine learning model based on the first machine learning model by generating a second feature space based on a second data set, generating second predictive label information based on the second feature space, and performing machine learning on a relationship between the second data set and a second label information.

AI classification

Machine learning1.00
Natural language1.00
Planning1.00
Knowledge representation1.00
Vision1.00
AI hardware0.98
Evolutionary computation0.06
Speech0.00

Ownership

LUNIT INC.

assignment · 512220248

Assignors

KIM, HYO-EUN

On an employer assignment, the assignors are typically the inventors.

From the same owner

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