The fact
This alternative approach to gradient-based methods offers new paths for model optimization.
The scientific contribution expands the theoretical toolkit of machine learning.
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This alternative approach to gradient-based methods offers new paths for model optimization.
The scientific contribution expands the theoretical toolkit of machine learning.