相关实验视频

Updated: Jun 22, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

多标签分类用于分布式高斯过程中的依赖入口的专家选择

Hamed Jalali1, Gjergji Kasneci2

  • 1Center for Plant Molecular Biology (ZMBP), University of Tübingen, 72076 Tuebingen, Germany.

Entropy (Basel, Switzerland)
|March 28, 2025
PubMed
概括

本研究为高斯过程引入了一种灵活的专家选择方法,通过根据个别数据点量身定制专家选择来提高效率. 这种方法可以提高分布式学习和多代理系统中的计算性能.

关键词:
斯过程是高斯过程.有条件的依赖关系.分布式学习是一种分布式的学习.组合学习组合学习多代理系统是多代理系统.多标签分类的分类方法

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