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liuyuelintop / wNN-metric-learning-paper

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Technical working paper on optimizing the weighted nearest neighbors (wNN) regression algorithm by learning feature-specific distance metric weights via batch gradient descent, achieving up to 80.65% MSE reduction over conventional wNN on UCI benchmarks.

machine-learning optimization regression supervised-learning metric-learning nearest-neighbors gradient-descent knn research-paper distance-metric-learning working-paper knn-regression batch-gradient-descent feature-weighting weighted-knn uci-datasets wnn
  • Updated Aug 2, 2026

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