Adaptive dimensional search is a computational method used in the context of high-dimensional data analysis and optimization problems. It refers to techniques that adaptively adjust the method of searching through data or parameter spaces based on the characteristics of the data, the structure of the problem, or the performance of previous search iterations.
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