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Semi‐Supervised Gaussian Mixture Regression With Gaussian Mixture Model Pretraining With Unlabeled Data

Year: 2026

Type: article

Source: Journal of Chemometrics

DOI: 10.1002/cem.70160

Author: Hiromasa Kaneko

Language: English

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Japan Society for the Promotion of Science

Awards: 流体科学における結果から原因を直接予測する数理モデル逆解析法の開発, Fabrication of laminar composite membranes for selective separation of ions

OpenAlex ID: W7166056495

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