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Updated: Jun 25, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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优化大规模的教育评估与"分裂与征服"战略:快速和有效的分布贝叶斯推理在IRT模型中的贝叶斯推理

Sainan Xu1, Jing Lu2, Jiwei Zhang3

  • 1Key Laboratory of Applied Statistics of MOE, School of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin, China.

Psychometrika
|May 30, 2024
PubMed
概括

本研究引入了对物品响应理论 (IRT) 的新型并行算法,以加快教育大数据处理. 瓦瑟斯坦后方近似方法提高了计算效率,同时保持了对大规模评估的准确参数估计.

关键词:
瓦斯斯坦的后部分布的贝叶斯推理推理.分割与征服策略的战略.项目响应理论是物品响应理论.进行大规模测试.

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