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Updated: May 24, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

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关闭形式的高斯扩散估计小和大支向量的分类

Diego Isla-Cernadas, Manuel Fernandez-Delgado, Eva Cernadas

    IEEE transactions on neural networks and learning systems
    |March 3, 2025
    PubMed
    概括

    直接马调整 (DGT) 提供了一种快速的分析方法,用于优化支持向量机 (SVM) 中的高斯核扩散. 这种方法显著加快了分类任务,即使是在大型数据集上,与最先进的性能相匹配.

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    Analysis and Specification of Starch Granule Size Distributions08:46

    Analysis and Specification of Starch Granule Size Distributions

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