1) Kernel Subspace Sample Selection(KSSS)
核子空间样本选择
1.
This paper present a named Kernel Subspace Sample Selection(KSSS) method to choose training samples for KNNCH classifier.
为了保证核最近邻凸包分类器有效地处理大训练集的应用问题,提出一种核子空间样本选择方法与该分类器相结合。
2) subspace sample selection
子空间样本选择
3) pattern selection
样本选择
1.
In this paper,a definition of the boundary patterns based on the generalized confidence is given,and a new algorithm of pattern selection is founded on this definition.
为此,结合基于模板匹配的脱机手写汉字识别,定义了一种通过广义置信度判定边界样本的方法,并且在此基础上建立了基于广义置信度的训练样本选择算法。
2.
But this form of the files organization is not always the most effe ctive in other researc hes such as the research on pattern selection.
本文则从研究样本选择的应用角度出发,对HCL2000中的样本进行了重新组织,同时对该数据库中的错误进行了纠正,生成了一个新的手写汉字数据库HCL2004。
4) sample selection
样本选择
1.
Kernel nearest neighbor convex hull classifier with kernel subspace sample selection method;
核子空间样本选择方法的核最近邻凸包分类器
2.
Subspace sample selection for SVM on face recognition;
子空间样本选择及其支持向量机人脸识别应用
3.
The article discussed sample selection for computing porosity with neural networks approach and gives concrete procedures In addition,the method is applied to an ore area and satisfactory results is obtaine
本文作者针对某铀矿区的测井资料 ,对神经网络计算孔隙度时的样本选择方法做了初步探讨。
5) subspace feature selection
子空间特征选择
6) space choice
空间选择
1.
The article utilizes the theory which was proposed by the economic Society world from aspects on culture,custom and policy to analyze the basic mindset of behavior choice by flowing people of Qing Dynasty in south of Shaanxi under the space choice,the reclamation activity and the environment trend condition.
本文运用经济社会学界提出的"有限理性人"理论,从文化、风俗、政策等方面,分析了清代陕南流民在空间选择、垦殖活动以及环境变迁条件下,流民行为的基本取向。
补充资料：样本空间
样本空间
space
样本空间[灿户雌s声Ce或sample space;脚60po”Hoenpoc邓明cT.0] 与某一试验相联系的所有基本事件(ele皿nlaryeVents)的集合，并且试验的每种不可分结局，由样本空间中一个且仅由一个样本点(salnple point)表示.样本空间是一抽象集合，在其子集的a代数上定义概率测度(见概率空间(probabi】jty sPace)).俄语文献中更常使用术语基本事件空间(印ace of elementaryeVents).A·B·npoxopoB撰【补注】
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