You have a small, mostly static corpus (e.g., a few hundred to a few thousand chunks). You want zero‑infrastructure local retrieval with fast, predictable latency. You’re assembling “infinite few‑shot ...

Abstract: Support vector machine (SVM) is a particularly powerful and flexible supervised learning model that analyzes data for both classification and regression, whose usual algorithm complexity ...

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Abstract: Several machine-learning algorithms have been proposed for remote sensing image classification during the past two decades. Among these machine learning algorithms, Random Forest (RF) and ...