The multi-objective optimization problem is solved by ε-MOEA and cross entropy method. In three case studies, the two algorithms are verified and compared with other four existing algorithms.

The second one reflects the spatial detail information, such as variance, entropy, cross entropy, and definition, where a more practicable concept of cross entropy is presented;

第二类反映空间细节信息，如方差、信息熵、交叉熵和清晰度，其中给出了一种更切合实际的交叉熵定义；

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The commonly used feature selection methods include Information Gain, Mutual Information,χ 2 statistics, Expected Cross Entropy, Word Frequency method, Document Frequency method, Text Evidence and so on.

首先要进行特征选择，常用的特征选择方法包括：信息增益、互信息、χ2统计、期望交叉熵、词频方法、文档频次方法、文本证据权等。

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An automatic seeded region growing algorithm based on histogram concavity analyses and minimum inner-class cross entropy theory is developed for defects segmentation.

提出了基于直方图凹性分析和类间最小交叉熵的区域生长图像分割算法。

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A new dynamic detection method for roll bearing faults was proposed based on wavelet packet and cross entropy from the angles of information differences of detection signals.

将小波包变换和迭代交叉信息熵有机结合，从检测信号信息量差异性的角度出发，提出一种设备故障动态检测的新方法。

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Based on the cross entropy principle in information theory, a novel index named state-test association sensitivity index is proposed together with its calculating methods.

基于信息论的交叉熵原理提出状态-测试关联灵敏度指标，并给出计算方法。

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The new algorithm is compared with a number of traditional algorithms based on Shannon entropy and minimum cross entropy by applying them to various test images.

比较了新算法与基于最小交叉熵以及基于传统香农熵的阈值化算法的特点和分割性能。

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Based on the analysis of wavelet package, the concept of wavelet energy cross entropy is proposed to serve as an index for damage diagnosis.

在小波包分析的基础上，提出了小波能量互熵作为损伤识别的指标。

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In training process, the whole neural system is modeled by using cross entropy as input, and decoding errors as output.

在训练过程中，将交叉熵作为神经网络输入端的样本值，译码错误作为期望输出值进行自适应模拟。

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It is a three layered back-propagation neural network in which the error function is a cross entropy function.

这是一个以交叉熵函数为目标函数的三层反向传播神经网络。

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Multiscale cross entropy and its application in analyzing the nonlinear coupling pattern in autonomic nervous system

多尺度交叉熵及其在自主神经系统多变量耦合模式中的应用

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An Improved Approach to Minimum Cross Entropy Thresholding

一种改进的最小互熵门限法

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Motion Target Detection and Orientation Based on Accumulative Absolute Difference Picture and Cross Entropy

基于累积绝对差图像与交叉熵分割的运动目标检测与定位

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Fast algorithm to implement minimum cross entropy coded multiuser detection

实现最小互熵编码多用户检测的快速算法

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A Method of Structural Damage Diagnosis Based on Wavelet Energy Cross Entropy under Ambient Excitation

环境激励下基于小波能量互熵的结构损伤诊断方法

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Fuzzy Neural Network Classifier Based on the Cross Entropy Rule and the New Transfer Function

基于交叉熵和新转移函数的模糊神经网络分类器

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Research on the method of viral mobile communication cross entropy based on video service

基于视频业务的病毒式移动通信交叉熵法研究

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Test Cases Selection Strategy with Cross Entropy Method

基于交叉熵方法的测试用例选择策略

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Kullback-Leibler's Divergence between Two Multivariate t-Distributions

两个多元t-分布之间的Kullback-Leibler距离

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A New Model Selection Criterion Based on Kullback-Leibler Information Divergence and Geometric Curvature

一种基于广义KL距离和几何曲率的模型选择准则

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This paper reviewed the Bayesian robustness of classes of ε-contaminated priors. The criteria for measuring its robustness are kullback-leibler divergence of the posterior distribution for the classes of-contaminated priors and it's curvature.

考查了ε-代换类先验的贝叶斯稳健性，衡量其稳健与否的标准是先验为ε-代换类的后验分布的kullback leibler散度和它的曲率。

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