Abstract: Resistive random access memory (RRAM) devices offer a broad range of attractive properties for in-memory computing (IMC) applications, such as nonvolatile storage, low read current, and high ...
Abstract. An old-school recipe for training a classifier is to (i) learn a good feature extractor and (ii) optimize a linear layer atop. When only a handful of samples are available per category, as ...
Abstract: Random Forest is a well-known type of ensemble learning, which combines a number of decision trees to improve the prediction ability and reduce the risk of overfitting. This paper aims at ...
Sickening footage shows the moment an elderly Seattle woman had her eye gouged out after she was randomly bashed in the head with a board by a “notorious” repeat-offender thug. Jeanette Marken, 75, ...
ROC-AUC evaluates how well the model separates patients with diabetes from those without across the full range of predicted probabilities. It is threshold‑independent, making it a strong choice for ...
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