论文标题
实际二次字段的机器学习课数
Machine Learning Class Numbers of Real Quadratic Fields
论文作者
论文摘要
我们实施和解释各种监督的学习实验，涉及实际数字1、2和3的实际二次领域。我们从数据科学的角度量化了匹配/不同奇偶校验的类别的相对困难，应用功能分析的方法论和主要组件分析的方法，并将符号分类用于开发机器核心公式的classearnearnearnect for Classearnew for Classearnect numbers 1，2和3我们的2和3我们的数据，我们的2和3。
We implement and interpret various supervised learning experiments involving real quadratic fields with class numbers 1, 2 and 3. We quantify the relative difficulties in separating class numbers of matching/different parity from a data-scientific perspective, apply the methodology of feature analysis and principal component analysis, and use symbolic classification to develop machine-learned formulas for class numbers 1, 2 and 3 that apply to our dataset.
