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Updated: Jun 7, 2026

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Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

适应性核心增强潜伏因子模型,用于高精度的QoS预测

Siqi Ai1, Peixin Li2, Hao Fang2

  • 1Beijing Mybull Technology Co., Ltd., Beijing, China.

Frontiers in big data
|February 18, 2026
PubMed
概括

我们引入了自适应核心增强潜伏因子 (ACELF) 模型,用于改进服务质量 (QoS) 预测. 通过自适应规范化,ACELF增强了潜在因子模型,提高了服务推系统的准确性.

关键词:
相对整数导数 (PID) 控制在 QoS 预测预测.适应性规范化适应性规范化隐性因子 (LF) 模型模型服务质量 (QoS)代表性学习学习学习

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