搜索资源列表
main1
- SVM主程序,专门用来调用SVM程序的,主要是先建模再验证，得出较好的分类器。-SVMmain program，for using SVM to classify
adaboost
- 基于bp-adaboost的强分类器设计 -公司财务预警建模-Based bp-adaboost strong classifier design modeling - Financial Crisis Warning
beiyes_result
- 贝叶斯分类器：利用贝叶斯分类器的原理对从UCI数据库中下载的心脏病数据集进行分类-Bayes classifier utilizing the data set classification，Bayes classifier utilizing the principle of the downloaded the UCI classification datasets heart disease
SVM
- 本实验提供了Matlab中的SVM程序包，利用程序包中提供的函数可进行分类器训练和样本分类。-This experiment provides the SVM in the Matlab package, the use of the function can be supplied in the package for the classifier training and samples.
TextureClassification-master
- matlab实现文本分类，内含两个分类器，主要采用线性回归和神经网络-Matlab achieve text classification, containing two classifiers, mainly using linear regression and neural network
mulan
- mulan实现多标签分类，内含多个重要的分类器，乃是分类中的精华-Mulan implementation of multi label classification, containing multiple important classifier, is the essence of the classification
data_generator
- 大数据的贝叶斯分类线性分类器Large data Bias classification of linear classifier-Large data Bias classification of linear classifier
bayesleastrisk
- baye sleastrisk贝叶斯分类实验，设计简单的线性分类器-bayes leastrisk；bayes leastrisk
twoclassflq
- 模式识别线性分类器设计,用C语言写的模式识别大作业。-Pattern recognition linear classifier design, written in C language pattern recognition big job.
beiyes
- 根据贝叶斯的相关理论实现一个贝叶斯分类器，主要是分两个步骤： 1、产生数据，这里的数据是自己产生的，可以用自己需要分类的数据去替换 2、分类-According to Bayesian theory achieve a Bayesian classifier, mainly in two steps: 1, to generate the data, where the data is self-generated, you can use the classified data the
SVMcg
- 该程序是支持向量机搜寻最佳-c和-g的函数，一般能使分类器的识别率提高几个百分点。-The program is the support vector machine search for the best-c and-g function, generally can improve the recognition rate of a few percentage points.
22222
- 模式识别中的贝叶斯分类器算法的实现及结果展示。-pattern recognition
Bpes
- Bpes是基于特征提取和特征选择的算法，多用于已分类的数据集中的边界数据的检测，对于边界数据中的未分类数据及模糊数据具有很好的检测效果。可适用于分类器的构建。-Bpes is based on the feature extraction and feature selection algorithms, used to have more classification, the data of the boundary of the data set of unclassified data
BP-Adaboost
- 基于BP-Adaboost强分类器的公司财务预警建模-Financial Early Warning modeling firm based BP-Adaboost strong classifier
tuxiangbeiyesi
- 利用最小错分概率贝叶斯分类器进行图像分类的基本方法，将模式识别方法与图像处理技术相结合-The basic method of image classification using the minimum error probability Bias classifier, the pattern recognition method and image processing technology
shengaobeyesi
- 仅身高作为特征时的Bayes分类器（以身高为数据作为特征）-The Bayes classifier, which is used as the data of height, is used as the feature of the feature.
tuxiangfengebeiyesi
- 将模式识别方法与图像处理技术相结合，利用最小错分概率贝叶斯分类器进行图像分类-The pattern recognition method and image processing technology are combined, using the minimum error probability Bias classifier for image classification
MachLearn_ml
- MachLearn:已经实现了朴素贝叶斯分类器、决策树、支持向量机算法。在Linux上可成功编译-MachLearn: has achieved a naive Bayes classifier, decision trees, support vector machine algorithm. Successfully compile on Linux
face-detection
- HOG+SVM人脸识别演示程序 使用梯度直方图特征与SVM分类器-face detection demo program using HOG SVM
knntextclassify
- knn算法实现的文本分类器，有界面，使用VS2010编写，能实现分类功能。-KNN algorithm to achieve the text classifier, the interface, the use of VS2010 to prepare, to achieve the classification function