SELF-LEARNING SYSTEM AND METHOD FOR AUTOMATICALLY PERFORMING MACHINE LEARNING

Provided are a self-learning system and method for automatically performing machine learning (ML). The self-learning system includes a memory configured to store an ML knowledge database (DB) in which ML knowledge is stored and a program for automatically performing ML based on request information o...

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Main Authors Kwon, Soon Hyun, Oh, Se Won, Kim, Nae Soo, Lee, Ho Sung, Yu, Jae Hak, Lee, Yeon Hee, Bae, Ji Hoon, Kim, Eun Joo, KANG, Hyun Joong, Kim, Hyun Jae, Kim, Kwi Hoon, Park, Hong Kyu, Kim, Sun Jin, Cho, Seong Ik, Pyo, Cheol Sig, Kim, Young Min
Format Patent
LanguageEnglish
Published 05.07.2018
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:Provided are a self-learning system and method for automatically performing machine learning (ML). The self-learning system includes a memory configured to store an ML knowledge database (DB) in which ML knowledge is stored and a program for automatically performing ML based on request information of a user, and a processor configured to execute the program stored in the memory. Here, when executing the program, the processor creates or recommends at least one workflow corresponding to the request information of the user based on the ML knowledge stored in the ML knowledge DB and generates an execution code for performing the created or recommended workflow.
Bibliography:Application Number: US201815859937