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English(EN) Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings

知识图谱嵌入近似SEL中的概率推理

研究人员开发了一种利用知识图谱嵌入来近似统计EL(SEL)中概率推理的方法。该方法旨在提高从统计信息中得出结论的效率。论文包含了运行时间和正确性的理论证明,以及对该方法速度和准确性的实证评估。 AI

影响 引入了一种用于统计模型中高效推理的新技术,有可能提高数据分析能力。

排序理由 该集群包含一篇详细介绍近似概率推理新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

知识图谱嵌入近似SEL中的概率推理

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该集群包含一篇详细介绍近似概率推理新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Evgeny Kharlamov, Steffen Staab ·

    使用知识图谱嵌入近似统计EL中的概率推理

    arXiv:2407.11821v2 Announce Type: replace Abstract: Statistical information is ubiquitous but drawing valid conclusions from it is prohibitively hard. We explain how knowledge graph embeddings can be used to approximate probabilistic inference efficiently using the example of Sta…