/Method And System For Evaluating Evaluation Target By Various Characteristics Using Mixture Of Expert
Abstract

A method and system for evaluating evaluation target by various characteristics using MOE are disclosed. According to one embodiment, an evaluation system may include Reader Modules for receiving evaluation target data and preprocessing it by characteristics of each of a plurality of artificial intelligence models for evaluation, an Evaluation Controller for controlling input of the preprocessed evaluation target data into the plurality of artificial intelligence models for evaluation, Multi-dimensional Evaluation Models for configuring each of the plurality of artificial intelligence models for evaluation into a plurality of instance models in multi-dimension by characteristics of the evaluation target data, and Federated Evaluation Models for integrating evaluation results for the preprocessed evaluation target data of each of the plurality of artificial intelligence models for evaluation and generating overall evaluation result.

Full Text

What is claimed is:

A method and system for evaluating evaluation target by various characteristics using MOE are disclosed. According to one embodiment, an evaluation system may include Reader Modules for receiving evaluation target data and preprocessing it by characteristics of each of a plurality of artificial intelligence models for evaluation, an Evaluation Controller for controlling input of the preprocessed evaluation target data into the plurality of artificial intelligence models for evaluation, Multi-dimensional Evaluation Models for configuring each of the plurality of artificial intelligence models for evaluation into a plurality of instance models in multi-dimension by characteristics of the evaluation target data, and Federated Evaluation Models for integrating evaluation results for the preprocessed evaluation target data of each of the plurality of artificial intelligence models for evaluation and generating overall evaluation result.
Timeline
Filed
04/20/2026
Published
08/27/2026
Granted
Not Available
IPC Codes(2)
G06N 3/0455:Auto-encoder networks; Encoder-decoder networks
G06N 3/098:Distributed learning, e.g. federated learning