论文标题
用于实施统计模型转换的类功能的子类
Subclasses of Class Function used to Implement Transformations of Statistical Models
论文作者
论文摘要
先前创建了以最小消息长度（MML）原理为指导的用于归纳推理的软件库。它包含统计模型的各种（面向对象的）类和子类，可用于从机器学习问题中给定的数据集中推断模型。在这里，在库中考虑并实现了统计模型的转换，以便从面向对象的编程和数学角度具有理想的属性。定义了进行此类转换所需的类功能的子类。
A library of software for inductive inference guided by the Minimum Message Length (MML) principle was created previously. It contains various (object-oriented-) classes and subclasses of statistical Model and can be used to infer Models from given data sets in machine learning problems. Here transformations of statistical Models are considered and implemented within the library so as to have desirable properties from the object-oriented programming and mathematical points of view. The subclasses of class Function needed to do such transformations are defined.
