搜索资源列表
bayes-classification
- 基于最小错误率的bayesian分类,对身高体重进行分类-bayes classification
bayes1
- 最小错误率贝叶斯决策 模式识别 贝叶斯分类器设计-Minimum error rate Bayesian decision pattern recognition Bayesian classifier design
qq
- 贝叶斯最小错误率分类器设计 -Bayesian minimum error rate classifier design Bayesian minimum error rate classifier design
Bayes
- 贝叶斯最小错误率分类器 用两列数据属性求二维正态分布 求后验概率分类-Bayesian minimum error rate sorter two columns of data attributes seeking seeking a two-dimensional normal posterior probability classification
bayes
- matlab基于最小错误率的贝叶斯分类器设计-Bayesian classifier design matlab minimum error rate
survival
- 模式识别。基于最小错误率的贝叶斯判别。完整模块,可直接调用-Pattern Recognition. Based on minimum error rate Bayesian discrimination. Complete module can be called directly
贝叶斯分类器设计
- 利用贝叶斯公式计算出其后验概率,即该对象属于某一类的概率,选择具有最大后验概率的类作为该对象所属的类。也就是说,贝叶斯分类器是最小错误率意义上的优化。
clj
- 利用统计特征方法中的基于正态分布的最小错误率贝叶斯分类器实现简单的手写数字识别应用程序-digital recognition
caisefenge
- 使用最小错误率贝叶斯决策的算法分割一个苹果,模式识别作业-Using the minimum error rate Bayesian decision segmentation algorithm an apple, pattern recognition operations
huidufenge
- 使用最小错误率贝叶斯决策的算法分割一个苹果灰度分割-Using the minimum error rate Bayesian decision split an apple gray segmentation algorithm
5.4
- 信号检测与估计中信号接收概率最小错误率及最大接收率-Signal detection and estimation of signal receiving probability of minimum error rate and maximum rate
c3d2matixgenerate
- 贝叶斯线性分类器作业,模式识别,最小错误率线性分类器-Bayes classification,Linear classifier design,Pattern Recognition
bayesampampfisher
- 其中贝叶斯分类包括最小错误率和最小风险两种 新手看看吧。也不错的-Bayesian classifier which comprises a minimum error rate and minimum risk two kinds novice to see it. Not bad
BayesTheory
- Bayes决策常用的准则: 最小错误率准则 最小风险准则 在限定一类错误率条件下使另一类错误率为最小的准则 最小最大风险决策准则 -Bayes Decision commonly used criteria: Minimum error rate criterion Minimum risk criteria Under defined conditions to a Type I error rate Another criterion of minimum e
beiyes-parzen-Fisher-ganzhi
- 最小错误率的贝叶斯决策,Parzen窗法,fisher线性判别和感知器-The minimum error rate Bayesian decision, Parzen window method, fisher linear discriminant and Sensor
Bayes_classifier
- 贝叶斯决策论是解决模式分类问题的一种基本统计途径。其出发点是利用概率的不同分类决策与相应的决策代价之间的定量折中。贝叶斯分类器的分类原理是通过某对象的先验概率,利用贝叶斯公式计算出其后验概率,即该对象属于某一类的概率,选择具有最大后验概率的类作为该对象所属的类。也就是说,贝叶斯分类器是最小错误率意义上的优化。-Bias classifier with minimum error rate.
Bayes
- 最小风险与最小错误率,贝叶斯判决器,包含数据和源代码-Minimum risk and minimum error rate, the bayesian decision, contain data and source code
GetFeature
- 手写数字识别获取特征,并且获取特征后可以进行用最小错误率贝叶斯识别-To obtain the characteristics of handwritten numeral recognition,And get the feature can be carried out with the minimum error rate of Bayesian identification
Bayes
- 用身高体重数据进行性别分类的实验,最小错误率贝叶斯分类器-An experiment of gender classification based on height and weight data, Bayesian classifier of minimum error rate
mssb
- 使用win7 java最小错误率贝叶斯决策规则。-Minimum error rate Bayesian decision rule