JOURNAL OF MACHINE LEARNING FOR MODELING AND COMPUTING

Aims & Scope✦ Inferred from recent articles

This journal publishes research on the application of machine learning, particularly neural networks and related techniques, to model and solve complex problems in scientific domains. Articles focus on developing and analyzing methods for parameter estimation, surrogate modeling, uncertainty quantification, and data compression in areas such as physics, engineering, and biology. A significant emphasis is placed on improving the efficiency, interpretability, and robustness of these machine learning approaches for scientific discovery and application.

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Subject Classification