1) weighted evidence distance
加权证据距离
2) evidence distance
证据距离
1.
Combination of weighted belief functions based on evidence distance and conflicting belief
基于证据距离和矛盾因子的加权证据合成法
2.
On the base of the two modification ideas, the modification of combination rules and the modification of evidence sources,this paper analyzed some typical existing modification methods and proposed to extract the intrinsic characteristics of the existing evidence sources by using evidence distance theory.
在总结这两类修改思路的基础上,分析了几种代表性的改进方法,同时通过引入证据距离,对证据源进行特征提取,提出了相应的改进方案。
3.
Through defining the open frame of discernment and using evidence distance and conflict degree that reflects the degree of evidence conflict,a new effective combination rule is presented.
通过引入开放识别框架的概念,运用证据距离和反映证据冲突分配权重的证据冲突强度,提出了一种证据合成的有效方法,该方法能明确区分识别框架的完备性,判断是否需要开放原识别框架。
3) weighted distance
加权距离
1.
Samples weights are properly solved through introducing the concept of weighted distance between weighted sample and hyperplane.
通过引入样本与超平面加权距离的概念,使得WSVM算法可以对样本的权值信息进行有效处理。
2.
The weighted distance between two adjacent intervals is defined using relative class frequency in the algorithm.
本文提出一种加权距离量化方法。
4) distance-weighting
距离加权
1.
The algorithm can simplify mesh models effectively, it also uses distance-weighting for viewport-clipping, results in view-dependent simplified mesh model.
该方法能根据视点位置简化网格 ,产生符合观察需要的网格 ;还将距离加权用于视窗裁剪 ,得到视点相关的网格模型 。
6) weighed distance
加权距离
1.
This paper pointted out some faults in some distance formulas of Vague set(value),and give a weighed distance formula of vague set.
给出Vague(值)集间的一个加权距离公式。
2.
A weighed distance formula of vague set was proposed.
给出Vague(值)集间的距离的新定义,并给出一个Vague集间的加权距离公式。
3.
Using the weighed distance formulas of Vague set,a new bidirectional approximate reasoning method based on distances of Vague set was presented.
应用Vague(值)集间加权距离公式,提出了一种基于Vague集间距离的双向近似推理方法。
补充资料：辩护人、诉讼代理人毁灭证据、伪造证据、妨害作证罪
辩护人、诉讼代理人毁灭证据、伪造证据、妨害作证罪：指在刑事诉讼中，辩护人、诉讼代理人毁灭、伪造证据，帮助当事人毁灭、伪造证据，威胁、引诱证人违背事实改变证言或者作伪证的行为。
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