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Description: 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
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Size: 2402 |
Author: qsj |
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Description: A neural network classifier based on Dempster-Shafer
theory
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Size: 5845 |
Author: nusrf |
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Description: 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
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Size: 24511 |
Author: 杜奕 |
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Description: 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-DS evidential reasoning of Dempster combination formula original function, see the document in detail the use of the help that
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Size: 2048 |
Author: qsj |
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Description: A neural network classifier based on Dempster-Shafer
theory
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Size: 5120 |
Author: nusrf |
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Description: 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-This is a foreign DST toolbox of Matlab, it is a comprehensive reflection of dempster-shafer theory, is to learn from the authority of DST Toolbox
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Size: 24576 |
Author: 杜奕 |
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Description: 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 likelihood estimation of a method, it can focus from non-complete data MLE of the parameters estimated, is a very simple and practical learning algorithm. This method can be widely applied to deal with defect data, censored data, with data such as the so-called hate incomplete data (incomplete data).
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Size: 9216 |
Author: zhangrui |
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Description: exemple Dempster shafer
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Size: 21504 |
Author: Scoo |
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Description: 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 parameter maximum likelihood estimation by Dempster, Laind, Rubin in 1977. The EM algorithm can estimate maximum likelihood only through incomplete data set.
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Size: 1024 |
Author: hporange |
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Description: 基于双门限的协作能量检测方法以及Dempster-Shafer理论-Double Threshold Energy Detection of Cooperative Spectrum Sensing in Cognitive Radio
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Size: 661504 |
Author: 陈蓝天 |
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Description: Deｍｐｓｔｅｒ－Ｓｈａｆｅｒ证据理论是一种不确定推理理论，它力图克服Ｂａｙｅｓｉａｎ理论的一些困难。目前该理论的解释主要有上下概率解释，随机译码器范例和可迁移信念模型。-Dempster-shafer definition at Dictionary.com, a free online dictionary with pronunciation, synonyms and translation.
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Size: 1786880 |
Author: 李伟 |
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Description: dempster shafer fusion
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Size: 9216 |
Author: rid |
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Description: 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
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Size: 2048 |
Author: hudapao |
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Description: 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 presence of unobserved variables. The EM algorithm can be used even for variables whose value is never directly observed, provided the general form of the probability distribution governing these variables is known.
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Size: 1024 |
Author: xiao |
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Description: Artificial Intelligence with DEMPSTER-SHAFER
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Size: 121856 |
Author: Henri |
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Description: 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)
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Size: 1024 |
Author: 聂晓音 |
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Description: 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
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Size: 2048 |
Author: 张渝 |
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Description: 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
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Size: 1024 |
Author: lanyouyuan |
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Description: 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)
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Size: 1024 |
Author: 桥桥桥
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Description: 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 functions from data
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Size: 49580032 |
Author: liulalala |
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