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Gaussian Processes: Why Kernels Are Priors Over Functions, Not Just Similarity Scores

Most introductions to kernels describe them as similarity measures. Two points that are close get a high kernel value, two points that are far apart get a low one, and a learning algorithm uses those similarities to interpolate. That description is not wrong, but it hides the more powerful idea beh…

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  1. 2026-10-28 11:06 · DEV Community — Machine Learning
    Gaussian Processes: Why Kernels Are Priors Over Functions, Not Just Similarity Scores

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