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DST
- DS证据推理的原始Dempster组合公式计算函数，详细使用见该文件内的帮助说明
belief_NN
- A neural network classifier based on Dempster-Shafer theory
IPToolbox
- 这是一个国外的DST的Matlab工具箱，很全面的反映了dempster-shafer理论，是学习DST的权威工具箱
evidence-theory-conflict-factor-k
- 证据理论Dempster规则中冲突因子K的求取。自己编的哦！-DEMPSTER-SHAFER EVIDENCE THEORY K
EM.java.tar
- EM 算法是 Dempster，Laind，Rubin 于 1977 年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE 估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据，截尾数据，带有讨厌数据等所谓的不完全数据(incomplete data)。需要weka的算法包支持。-EM algorithm is Dempster, Laind, Rubin in 1977 for the parameters proposed by maximum
IPPToolbox
- exemple Dempster shafer
EM_Algorithm
- EM algorithm is to solute the problem of parameter maximum likelihood estimation by Dempster, Laind, Rubin in 1977. The EM algorithm can estimate maximum likelihood only through incomplete data set. -EM algorithm is to solute the problem of parame
smets
- dempster shafer fusion
EM-
- EM检测 初级实例 多高斯混合 First, one of the k Normal distributions is selected at random. Second, a single random instance xi is generated according to this selected distribution. -EM algorithm (Dempster et al.1977)，a widely used approach to learning in the pr
Artificial-Intelligence-DEMPSTER-SHAFER
- Artificial Intelligence with DEMPSTER-SHAFER
DS_fusion
- DS证据，功能：融合x,y两行向量(经典Dempster-Shafer组合公式)-DS evidence features: integration of x, y two row vectors (classical Dempster-Shafer combination formula)
dempster
- DS证据融合程序,DS证据理论中的组合规则-DS evidence fusion program, DS evidence theory combination rule
Dempster-Shafer
- 使用经典Dempster-Shafer组合公式融合x,y两行向量-fusion row vector x with row vector y using Dempster-Shafer
DS_Fusion
- 证据理论合成规则，能很好地处理不确定信息(The rules of Dempster synthesis can deal with uncertain information well)
D_S证据理论C++源码
- DS 证据理论（Dempster-Shafer envidence theory）也称为DS理论。是一种处理不确定性问题的完整理论。它不仅能够强调事物的客观性，还能强调人类对事物估计的主观性，其最大的特点就是就是对不确定性信息的描述采用“区间估计”，而非“点估计”，再区分不知道和不确定方面以及精确反映证据收集方面显示出很大的灵活性。
Dempster-Shafer-master
- Support for normalized as well as unnormalized belief functions Different Monte-Carlo algorithms for combining belief functions Various methods related to the generalized Bayesian theorem Measures of uncertainty Methods for constructing belief fu
simple DS
- 经典证据理论融合公式，用于对两个数据源进行初级融合，效果较好(Dempster-Shafer.The fusion formula of classical evidence theory is used for primary fusion of two data sources, and the effect is good.)