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An_Empirical_Study_of_Smoothing_Techniques_for_Lan
- measure through the cross-entropy of test data. In addition, we introduce two novel smoothing techniques, one a variation of Jelinek-Mercer smoothing and one a very simple linear interpolation technique, both of which outperform existing
crosssampen
- It is cross sample entropy code It will be helpful for nonlinear dynamics
yiqun
- 蚁群信息素更新 使用随机梯度上升和交叉熵的方法-Updating ACO pheromones usingStochastic Gradient Ascent and Cross-Entropy methods.pdf
cross-entropy-(CE)-method
- cross-entropy (CE) method
DataMining3rd
- 评测数据在去掉停用词的 分类过程开放测试中,引入Good-Turing算法的分类性能比Laplace原则提高了3·05 ,比Lidstone方法提高 1·00 .而在交叉熵选择特征词的算法中,增加Good-Turing的贝叶斯分类方法可比最大熵分类性能高95 .通过这种数据平滑的算法,有助于克服因数据稀疏而引发的特征词缺失问题 -Evaluation data in the open test of the classification process to remove stop
erweishang
- 二维最大熵法和二维最小交叉熵法是目前常用的两种阈值分割方法, 但在某些时候因为两种方法获取的阈 值过高或者过低, 使得分割失效。针对此问题, 提出了基于二维最大熵法和二维最小交叉熵法结合的图像分割方法。 首先, 对二维最小交叉熵公式进行转化 然后, 利用多目标规划理论将这两种方法有机结合使得到的阈值既满足二维 最大熵原则, 又满足二维最小交叉熵原则 最后, 利用二维直方图的特点推导出新型递推算法搜索最佳阈值并降低计 算复杂度。-The thresho ld ing method
maghale2
- Cross-entropy based rare-event simulation for the identification of dangerous events in power systems paper
breakpoint
- 在这个文档里，利用交互熵进行变点检测，该源码是利用R语言开发-Implements the cross-entropy (CE) method, which is a model based stochastic optimization technique to estimate both the number and their corresponding locations of breakpoints in biological sequences of continuous a
Two-dimensional-maximum-entropy
- 二维最大熵与交叉熵结合 Two dimensional maximum entropy and cross entropy based-Two dimensional maximum entropy and cross entropy based