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svmcls-(2)
- 李荣陆老师做的文本分类器,用中科院分词系统做的,分类方法用的是SVM和K-Rong Lu teachers do text classification, word segmentation system with the Chinese Academy of Sciences to do, classification using a SVM and KNN
case1
- BP神经网络的数据分类-语音特征信号分类-BP Neural Network for Data Classification- Classification of speech feature signals
Chinese-text-categorization-Study
- 本文通过对Bayes、KNN、SVM 应用于中文文本分类进行比较实验研究。 应用ICTCLAS 对中文文档进行分词,在大维数,多数据情况下应用TFIDF 进行 特征选择,并同时利用它实现了对特征项进行加权处理,使文本库中的每个文本 具有统一的、可处理的结构模型。然后通过三类分类算法实现了对权值数据进行 训练和分类。-Based on the Bayes, KNN, SVM applied to compare the Chinese text ca
levmar-2.4
- unix下开发的多分类支持向量机的源程序,程序应用很灵活,编译后即可使用。-unix developed under the multi-class Support Vector Machine source, the program application is very flexible and can be used after compilation.
SVM
- 用于各种分类的支持向量机matlab程序,可自定训练集和验证集数量-lib-SVM matlab program
Adaboost-detection
- 基于ADABOOST的人脸检测程序,有分类器训练和测试-face detection based on adaboost
bp
- 神经网络分类在医疗领域乳腺肿瘤诊断中的应用-Neural network classifier in the medical field diagnosis of breast cancer
BP-Iris-classifier
- 使用BP网络实现了对Iris数据的分类,使用了可变学习速率和带动量的梯度下降算法。-Using the BP network realizes the classification of Iris data, the use of the variable learning rate and the amount of gradient descent algorithm driven.
bpandkohonen
- 神经网络源码,可应用于遥感图像的分类,采用的包括bp、kohonen。可以作为范例来学习。-Neural network source code can be used in remote sensing image classification, using the included bp, kohonen. Can serve as examples to learn.
realization-of-the-text
- 本文主要探讨了文本分类系统的实现和关键技术,第一部分为引言,第二部分描述了文本分类解决的问题并对其性能评估方法进行了介绍,第三部分探讨了文本分类系统的关键技术,第四部分给出了我们实现的基于向量空间模型的文本分类系统的结构框架,第五部分是该系统的测试数据和实验结果,第六部分是对将来工作的设想,第七部分是结束语-This paper discusses the realization of the text classification system and key technologies, th
bsvm-multisvm
- 一个多分类支持向量机的文件,可直接运行,并且可以多数据进行多重分类,十分好用-A multi-class support vector machine files can be directly run, and can make multiple multiple data classification, is very easy to use
8classifier
- 可对txt格式的特征文件进行多分类,此处以八分类为例。-Txt format can be a profile of multiple classification
svm
- svm 可以实现多分类 希望对你能有帮助-svm classification can achieve more than you want to help
GaborFilter
- 利用Gabor滤波器提取图像纹理特征,用于图像分类模式识别-Extract the texture feature using Gabor filter/wavelet. You should first generate cell array G, which is a set of kernels in freq domain, then pass G and the image to the function GABORCONV.
pereceptron
- 感知器算法分类器,感知器是一种双层神经网络模型,一层为输入层,另一层具有计算单元,可以通过监督学习建立模式判别的能力-Perceptron Algorithm classifier, perceptron neural network model is a double layer of input layer, another layer with a calculation unit, you can determine by monitoring the ability of learni
IrisClassification
- Iris数据集的分类程序,包括线性分类器实验,BP网络分类器实验,以及异或数据的BP网络分类实验,外带试验报告-Iris data set of classification procedures, including linear classification experiment, BP network classifier experiments, and different BP networks or data classification experiment, take-test
IrisBayes
- iris数据集的贝叶斯分类实验,外带实验报告一分-Bayesian classification of iris data set experiment, experimental report of a sub-outer
fenleisuanfa
- 分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器,分别画出决策面,并比较性能。-Perceptron algorithm were used, the least square error algorithm, linear SVM classifier algorithm, respectively, making face paint, and compare performance.
SAXDemo
- SVM文本分类实验平台 对文本分类的最好例子-SVM text classification experiment platform for the best example of text classification
test
- 基于朴素贝叶斯的文本分类器,使用Visual C# 2005编写-the text-based Naive Bayesian classifier