相对熵
- 网络Relative Entropy;kullback-leibler divergence;KL divergence
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该算法在MDR算法的基础上,提出了一种基于相对熵的页面去噪算法,从而提高了Web结构化数据抽取的准确率。
This algorithm is based on traditional MDR algorithm and adopts relative entropy theory for noise removal so as to improve the precision of web structural data extraction .
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同时通过相对熵理论证明了3-DSWT变换系数符合广义高斯分布。
Simultaneously it is proved that the distribution of 3-D SWT coefficients follow the generalized Gaussian density function by using the distribution relative entropy theory .
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求解多目标优化问题基于相对熵的Pareto解演化算法
A Relative Entropy-Based Pareto Evolutionary Algorithm for Multi-Objective Optimization
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基于Renyi相对熵的图像阈值化方法
Image Thresholding Techniques using Renyi Relative Entropy
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基于HNP三态模型及相对熵方法的蛋白质折叠研究
Protein Folding Study Based on The HNP Model and The Relative Entropy Approach
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在宇旋算符的基础上,通过引入合适的Bell算符,很好的揭示了该态的非定域性,而且,直接计算了该态的相对熵纠缠度。
The nonlocality of the state is well uncovered by introducing appropriate Bell operator based on the ' pseudospin operator ' . Moreover , we calculate directly the relative entropy of entanglement of the state .
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该工作为基于相对熵及HNP模型的蛋白质设计研究打下了基础。
A foundation for studying protein design using the HNP model and the relative entropy was made .
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利用分析法研究了马氏链相对熵密度的若干极限性质,推广了Shannon-McMillan的极限定理,改进并推广了文[1]~[3]的主要结果,建立了新的有限非齐次马尔可夫链的强极限定理。
The many properties of the relative entropy density were studied by using analysis method . The theorems of Shannon-McMillan were extended . Main results of article were improved .
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结合委员会成员投票熵和相对熵,改进了基于委员会选择算法(QBC)的主动学习,并应用基于该算法的主动贝叶斯网络对电信客户信用风险分类进行建模。
This paper modifies the query-by-committee ( QBC ) method of active learning by combining vote entropy and kullback-leibler divergence for learning TAN classifier to model telecom clients ' credit classification .
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本文首先运用统计模型对图像进行统计,然后根据统计模型,结合相对熵中的一个典型算法Kullback-Leibler散度来计算不同深度图像之间的相似度。
First , the blurred image be computed by statistical model , then the similarity between the images at different depths can be computed by this statistics and a very classical algorithm that is Kullback-Leibler ( KL ) divergence .
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详细阐述了两体纠缠度量须满足的基本条件,以及五种基本纠缠度量:vonNeumann熵、结构纠缠、提取纠缠、相对熵纠缠和纠缠单调,给出了一类态相对熵纠缠的解析计算公式。
The main content of this dissertation is as follows : This dissertation introduces in details the basic conditions that bipartite entanglement measure should satisfy and the five entanglement measure , von Neumann entropy , formation of entanglement , distillation of entanglement , relative entropy of entanglement and entanglement monotone .
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从相对熵最小化观点和IPDI原理出发,讨论智能系统的智能行为,给出关于智能系统学习过程的几个定理和学习算法。
Intelligent behavior of intelligent system is discussed from the viewpoint of minimizing of relative entropy and from the principle of IPDI ; several theorems and algorithms for the learning process of intelligent system are also given in this paper .
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基于相对熵的营销机会模糊评价
Fuzzy Evaluation of Marketing Opportunity on the basis of Relative Entropy
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任意二进信源相对熵密度的若干性质
Some properties of relative entropy densities of arbitrary binary infomation sources
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相对熵密度似然比的极限性质
The limit properties of relative likelihood ratio of entropy density
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层次分析中相对熵算法的若干性质
Some properties on relative entropy method of analytic hierarchy process
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基于相对熵的多属性决策组合赋权方法
Combination Weighting Approach in Multiple Attribute Decision Making Based on Relative Entropy
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基于相对熵和边缘检测的图象分割算法
A Relative Entropy and Edge Detection-based Algorithm to Image Segmentation
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基于相对熵阈值法的储粮害虫图像分割
The Stored-grain Pest Image Segmentation Algorithm Based on the Relative Entropy Threshold
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高斯随机场参数的最小相对熵估计法
A Minimum Relative Entropy Approach to Parameter Estimation for Gaussian Random Fields
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相对熵密度偏差在入侵检测模型中的应用
Application of relative entropy density divergence in intrusion detection models
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相对熵、畸变风险测度及其金融风险测度的效能
Relative Entropy , Distortion Risk Measures and Their Functions in Financial Risk Measurement
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确定区域水资源分配权重的最小相对熵方法
Minimum relative information entropy method for determining weights of region water resources allocation
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高等级公路沥青路面状况的相对熵评价模型
Relative Entropy Based Evaluation Model for Asphalt Pavement Condition
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在此基础上,相对熵歧异值被用来衡量分布差异。
Based on it , divergence is proposed to measure difference of distribution .
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加权模糊相对熵在电机转子故障模糊识别中的应用
Application of Weighted Fuzzy Relative Entropy to Fuzzy Recognition of Motor Rotor Fault
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一种基于相对熵的图像模糊增强方法
An image fuzzy enhancement method based on relative entropy
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一种求解全局优化问题的修正相对熵算法及其收敛性
A Modified Cross-Entropy Method for Solving Continuous Optimization Problems and Its Asymptotical Convergence
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结论模糊相对熵方法用于模式识别是很有实际意义的。
Conclusion Fuzzy relative entropy method is more significant for fuzzy pattern recognition .
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中小企业信用评价指标的理论遴选与实证分析基于相对熵&灰色关联的上市中小企业信用评价
Evaluation of Listed Small-and-medium-sized Enterprises Credit Based on the Relative Entropy-Grey Relational Analysis