1) Sequence-based Approach
序列化方法
2) serial minimization method
序列极小化方法
1.
First serial minimization method is used to delete the characters which are independent on the outputs, correspondingly the data for these characters in primitive training samples is deleted and the classification function is recomputed.
在详细论述支持向量机的核心思想和基本算法的基础上,采用C-SVM算法用于未知样本分类,特别是对于缺失数据的未知样本,先采用序列极小化方法将与输出无关的特征剔除,对应地在原始训练集中剔除该特征所对应的数据并重新求解,否则采用插值法对缺失数据进行估计。
3) Method sequence
方法序列
4) multilevel sequential optimization algorithm
多级序列优化方法
1.
A multilevel sequential optimization algorithm based on Niche Immune Genetic Algorithm(NIGA) is proposed to solve the problem of optimal layout of silicon steel sheet.
提出一种基于小生境免疫遗传算法的多级序列优化方法,并解决硅钢片优化排样问题。
5) SUMT
序列无约束极小化方法
6) sequential unconstrained optimization technique
序列无约束优化方法
补充资料：公理化方法(见公理化和形式化)
公理化方法(见公理化和形式化)
axiomatical method
gongllbuafangfa公理化方法化和形式化。(axiomatieal method)见公理
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条