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Showing 1 to 2 of 2 for “"Adaptive Sampler"”.
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Resource-Efficient Machine Learning via Count-Sketches and Locality-Sensitive Hashing (LSH)
… algorithm uses the LSH data structure as an adaptive sampler. We demonstrate this LSH Sampling approach by accurately estimating the partition function in large-output spaces. (2) MISSION is a large-scale, feature extraction algorithm that uses the count-sketch data structure to store a …
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DAVMAS-GP: Domain aware variance minimizing Gaussian process regression for complex monostatic RCS prediction
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-08-01