Prediction-Model-Building Method and State Prediction Method

ChangeBridge: Patent Grants - AI & Computing (G06N)

Published April 7th, 2026

Detected April 7th, 2026

Summary

USPTO granted Patent US12596934B2 to WISTRON CORP on April 7, 2026, covering a prediction-model-building method and state prediction method using machine learning. The patent describes generating augmented training data to handle missing items in datasets and building prediction models based on such augmented datasets. The patent contains 20 claims.

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What changed

USPTO issued Patent US12596934B2 to WISTRON CORP for a prediction-model-building method and state prediction method. The invention addresses handling missing data in training datasets by generating augmented training data when missing items are detected, then building prediction models using the complete augmented dataset via machine learning algorithms. The patent covers both the model-building process and the state prediction process using such models.

For technology companies and manufacturers developing machine learning applications, this patent establishes intellectual property rights that may affect product development strategies. Companies implementing similar prediction model approaches with augmented training data should review this patent to assess potential licensing requirements or design-around considerations to avoid infringement.

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Source document (simplified)

← USPTO Patent Grants

Prediction-model-building method, state prediction method and devices thereof

Grant US12596934B2 Kind: B2 Apr 07, 2026

Assignee

WISTRON CORP.

Inventors

Yao-Tsung Chang

Abstract

A prediction-model-building method includes: generating a plurality of pieces of augmented training data after a piece of training data with a missing item is determined; constituting a training dataset comprising pieces of training data without any missing item and the plurality of pieces of augmented training data; and building a prediction model based on the training dataset by a machine-learning algorithm. Similarly, a state prediction method includes: generating a plurality of pieces of estimation augmented data after a piece of source data with a missing item is determined; inputting the said plurality of pieces of estimation augmented data into a prediction model; and outputting a predicted state based on the output of the prediction model. Devices for performing the above methods are also disclosed.