Abstract: this study introduces a novel approach employing the K-nearest neighbor (KNN) algorithm for designing a planar microwave filter. It explores the application of supervised machine learning ...
@article{chen2025diffusion, title={Diffusion forcing: Next-token prediction meets full-sequence diffusion}, author={Chen, Boyuan and Mart{\'\i} Mons{\'o}, Diego and ...
Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
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