The model consists of a finite number of regression classes, for each of them the model error may normal or arbitrary under certain conditions.
该模型由有限个回归类构成,每个类的模型误差可以是正态的,也可以是满足一定条件的任意分布。
Complex and massive data usually appear as a mixture of multiple classes of structures and mixture model of regression classes is a description of such mixture.
复杂海量数据往往表现为多种结构特征的混合体,回归类混合模型就是对这种混合体的一个描述。
This research result in efficient regression testing by helping testers decide what classes and methods need to be retested, and in supporting cost estimation and schedule planning.
本文的研究能帮助程序开发人员在回归测试中确定需要重测的类和方法和成本估算及制定进度计划。
Two classes of fuzzy linear regression models are considered, one involves real design points and fuzzy number parameters, the other consists of fuzzy number observations and real parameters.
考虑两类模糊回归模型:一类是设计点为实数、参数为模糊数;另一类是观察值为模糊数、参数为实数。
Two classes of fuzzy linear regression models are considered, one involves real design points and fuzzy number parameters, the other consists of fuzzy number observations and real parameters.
考虑两类模糊回归模型:一类是设计点为实数、参数为模糊数;另一类是观察值为模糊数、参数为实数。
应用推荐