Description: 该文件为一个用matlab 编写的bayes分类的误差分析程序，比较经典，只得相关开发人员参考 -one of the documents used for the preparation of the Matlab bayes classification error analysis procedures, more classic, only related to the development of reference Platform: |
Size: 6503 |
Author:安飞 |
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Description: Find a classification error for a given decision surface D and a given set of patterns and targets -Find a classification error for a given dec ision surface D and a given set of patterns and ta rgets Platform: |
Size: 1142 |
Author:柳风 |
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Description: 该文件为一个用matlab 编写的bayes分类的误差分析程序，比较经典，只得相关开发人员参考 -one of the documents used for the preparation of the Matlab bayes classification error analysis procedures, more classic, only related to the development of reference Platform: |
Size: 6144 |
Author:安飞 |
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Description: Find a classification error for a given decision surface D and a given set of patterns and targets -Find a classification error for a given dec ision surface D and a given set of patterns and ta rgets Platform: |
Size: 1024 |
Author:柳风 |
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Description: 大型视屏交友网站 4.02008-1-932.1 MB [保留位置]·家园4.0ACCESS免费版1、修正无法图片错误2、修改分类错误3、修正模板错误4、修改JS文件调用的错误5、增加了视屏排行帮功能6、新增加多选删除功能7、增加系统安全性措施8、修改友情连接，去除JS代码调用9、做了优化使显示速度更快，... -Large screen Dating Site 4.02008-1-932.1 MB [location retain] 4.0ACCESS free home version 1, the amendment can not be wrong picture 2, to amend classification error 3, as amended template error 4, modified JS file call error 5, an increase of as Ranking screen help function of 6, a new multi-delete function 7 election to increase the system security measures to 8, to amend LINKS remove call JS code 9, is optimized to do so showed faster ... Platform: |
Size: 130048 |
Author: |
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Description: 采用Matlab编写的最小二乘法，实现对两类的正确分类-Prepared by the use of Matlab least squares method, to realize two types of correct classification Platform: |
Size: 2048 |
Author:junrren |
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Description: 在具有模式的完整统计知识条件下，按照贝叶斯决策理论进行设计的一种最优分类器。分类器是对每一个输入模式赋予一个类别名称的软件或硬件装置，而贝叶斯分类器是各种分类器中分类错误概率最小或者在预先给定代价的情况下平均风险最小的分类器。-In a model under the condition of complete statistical knowledge, in accordance with the Bayesian decision theory to design an optimal classifier. Classifier is the input mode of each name given to a category of software or hardware devices, and Bayesian classifier is the classifier in the smallest classification error probability or the cost of pre-given circumstances smallest average risk classifier. Platform: |
Size: 3072 |
Author:御风疾书 |
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Description: 达州分类信息网完整无错版,分类信息网站源码。-Florida Information Network classification error-free version of the full, classified information website source Platform: |
Size: 5680128 |
Author:kolong |
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Description: 基于贝叶斯最小错误率算法的崇明岛遥感图像分类程序。并且有饼状图显示各类地物比例-Minimum error rate based on Bayesian algorithm for Chongming Island, the remote sensing image classification procedures. And the pie chart below shows the proportion of various types of features Platform: |
Size: 1425408 |
Author:李琛 |
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Description: 基于weka的分类算法，用于weka拓展应用。朴素贝叶斯模型发源于古典数学理论，有着坚实的数学基础，以及稳定的分类效率。同时，该算法所需估计的参数很少，对缺失数据不太敏感，算法也比较简单。理论上，与其他分类方法相比具有最小的误差率。-Based on the classification algorithm weka, weka develop applications for. Naive Bayes model originated in the classical mathematical theory, has a solid mathematical basis, as well as the stability of the classification efficiency. At the same time, the algorithm estimates the parameters required for small, less sensitive to missing data, the algorithm is also relatively simple. In theory, when compared with other classification methods with the smallest margin of error. Platform: |
Size: 7168 |
Author:zhangrui |
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Description: This function calculate the performance, based on Bayes theorem, of a clinical test. The input is based on a 2x2 matrix (true positive, false positives false negative, true negatives).
The Outputs are:
- Prevalence of disease
- Test Sensibility with 95 confidence interval
- Test Specificity with 95 confidence interval
- False positive and negative proportions
- Youden s Index
- Matthews Correlation Coefficient
- Number needed to Diagnose (NDD)
- Discriminant Power
- Test Accuracy
- Mis-classification Rate
- Positive predictivity
- Negative predictivity
- Positive Likelihood Ratio
- Negative Likelihood Ratio
- Test bias
- Diagnostic odds ratio
- Error odds ratio-This function calculate the performance, based on Bayes theorem, of a clinical test. The input is based on a 2x2 matrix (true positive, false positives false negative, true negatives).
The Outputs are:
- Prevalence of disease
- Test Sensibility with 95 confidence interval
- Test Specificity with 95 confidence interval
- False positive and negative proportions
- Youden s Index
- Matthews Correlation Coefficient
- Number needed to Diagnose (NDD)
- Discriminant Power
- Test Accuracy
- Mis-classification Rate
- Positive predictivity
- Negative predictivity
- Positive Likelihood Ratio
- Negative Likelihood Ratio
- Test bias
- Diagnostic odds ratio
- Error odds ratio Platform: |
Size: 3072 |
Author:Rafal |
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Description: 使用bp（反向传播算法）实现分类问题，并观察分类过程中误差的变化。-Use bp (back-propagation algorithm) to achieve the classification and observe the changes in classification process in the error. Platform: |
Size: 30720 |
Author:王晶 |
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Description: 使用二分法对样本集进行剪辑，剪辑法的思想，就是将样本集分成训练集与考试集， 利用训练集样本对考试集的样本进行分类（使用近邻法），如果考试集中某个样本分类错误的话，将这个样本删除。在该函数中，使用最近邻法，只进行一次剪辑（遍历完考试集中的样本以后退出）。还有一种重复剪辑法（适用于样本比较多的情况），把样本随机分为多个样本集，将相邻的两个样本前一个作为考试集，后一个作为训练集，调用二分剪辑。所有的样本子集剪辑完毕以后，在递归调用，直到没有样本被剪辑掉,没得讲，重复剪辑的效果肯定好一些。
-The sample sets using the dichotomy of the clips, editing law idea is to sample set into training set and test set, using the training set samples to the test set of samples (using the nearest neighbor algorithm), if the examination focused on a sample of classification error then delete this sample. In the function, use the nearest neighbor method, only once clips (focused on a sample of traversal finished after the exit exam). There is also a repeat clip method (samples are more applicable to the case), the samples were randomly divided into multiple sample set, the two adjacent samples of the former one as a test set, the latter one as a training set, call the two sub-clips. All the samples were a subset of the clips after they have finished, in the recursive call, until there are no samples were clip out, did not have to say that the effect of repeated clips definitely better. Platform: |
Size: 1024 |
Author:shihao |
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Description: . 简化了后台程序，使后台更实用，方便。
. 修复了数据库BUG，反应更快。
. 对在线升级功能进行了改进，提高兼容性和稳定性。
. 对程序进行优化，后台运行效率明显加快
. 修改地方服务子分类不可修改Bug
. 修复修改网址信息后自动跳转会出现2000秒倒数的Bug
. 修复天气自动判断显示为“东莞”的Bug
. 修复内页不能正常显示用户自定义背景的Bug
. 修复名站切换栏“我的收藏”网址IE浏览器下不在新窗口打开的Bug
. 修复部分环境下后台左侧菜单不显示的Bug
. 改进批量导入网址功能
. 修正清空关键词分类后静态生成出错的Bug-. Simplifies the background process, so that the background is more practical and convenient.
. Repair the database BUG, responsive.
. On-line update features improvements to improve compatibility and stability.
. For programs optimized for running in the background is markedly accelerated
. Modify the local service sub-categories can not be modified Bug
. Repair modify the URL information will appear automatically after 2000 seconds the penultimate jump of the Bug
. Repaired automatically determine the weather displayed as "Dongguan" in Bug
. Restoration does not display properly inside a user-defined background, Bug
. Repair station to switch the name column "My Favorites" URL is not a new IE browser window opens, under the Bug
. Fix some of the environmental background of the left side of the menu is not displayed under the Bug
. To improve Web site bulk import functions
. To amend Empty keywords classification error is generated after the static Bug Platform: |
Size: 2979840 |
Author:来搜网网址导航 |
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Description: 采用身高和体重数据作为特征，分别假设二者相关或不相关，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则，将该分类器应用到训练/测试样本-Bayes classifier is the most classic! Minimize the classification error. With the matlab language, with examples Platform: |
Size: 1024 |
Author:崔深 |
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Description: 类可分离性的判别，特征选择与特征提取的任务是求出一组对分类最有效的特征因此需要有定量分析比较的方法，判断所得到的特征维数及所使用特征是否对分类最有利，这种用以定量检验分类性能的准则称为类可分离性判据。
类别可分离性判据，用来检验不同的特征组合对分类性能好坏的影响，并用来导出特征选择与特征提取的方法。
理想准则：某组特征使分类器错误概率最小-Class separability of discrimination, feature selection and feature extraction task is to find a set of classification of the most effective feature thus the need for more quantitative analysis method to determine the characteristics obtained by the use of dimension and characteristics are most favorable to the classification This test for quantitative performance criteria for classification as class separability criterion. Class separability criterion, used to test different combinations of features of good and bad effects on the classification performance, and used to derive the feature selection and feature extraction methods. Ideal criteria: a set of characteristics so that the minimum classification error probability Platform: |
Size: 429056 |
Author:leo |
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Description: 用parzen来计算所选的数据的概率密度函数，所选的窗函数是方窗，最后基于最小错误率的贝叶斯进行分类-With parzen selected data to calculate the probability density function, the selected window function is the side window, and finally the smallest error rate based on Bayesian classification Platform: |
Size: 4096 |
Author:王爱华 |
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