论文标题
使用低计算能力的人工智能概念的链接预测
Link Prediction of Artificial Intelligence Concepts using Low Computational Power
论文作者
论文摘要
本文提出了一种针对人工智能研究所组织的Science4Cast 2021竞赛提出的方法，该研究所的主要目标是预测语义网络中机器学习概念之间未来关联的可能性。开发的方法对应于一种解决方案，仅对低计算能力的可用性，利用了低阶拓扑特征的提取及其在优化的分类器中的融合，以估计节点之间未来连接的程度。将讨论激发开发方法的原因，以及改进的一些结果，局限性和建议。
This paper presents an approach proposed for the Science4cast 2021 competition, organized by the Institute of Advanced Research in Artificial Intelligence, whose main goal was to predict the likelihood of future associations between machine learning concepts in a semantic network. The developed methodology corresponds to a solution for a scenario of availability of low computational power only, exploiting the extraction of low order topological features and its incorporation in an optimized classifier to estimate the degree of future connections between the nodes. The reasons that motivated the developed methodologies will be discussed, as well as some results, limitations and suggestions of improvements.
