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This review aims to provide a comprehensive overview of Gaussian process methods in adaptive learning applications.

Adaptive Learning with Gaussian Process Regression: A Comprehensive Review of Methods and Applications

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This review categorizes Gaussian process methods and adaptive learning strategies, suggesting efficient modeling in various applications.

This review aims to provide a comprehensive overview of Gaussian process methods in adaptive learning applications.
Categorization of Gaussian process methods
Classification of adaptive learning strategies
Discussion of real-world applications
Comparison of single-point and batch-query methods for optimization
Identified various Gaussian process methods applicable in adaptive learning
Highlighted the role of uncertainty prediction in efficiency modeling
Provided examples from material and product design applications

Polke et al. (2026) studied this question.

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