搜索资源列表
C_adaboost
- adaboost算法源码,Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器(强分类器),通过测试可以运行-adaboost algorithm source code, Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers
StepclassV2
- 逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本,每列为一个变量. Class_x,为训练集的分类情况,一行,为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量:sel为选择的变量序号,c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8
DecisionTree-(2)
- 决策树,根据训练集的分类结果预测测试集的分类结果,在计算机视觉和模式识别中很有用-Decision tree , test set according to the classification results of the training set, is very useful in computer vision and pattern recognition
LibSVM
- libsvm的demo的源码实现,通过训练集训练模型,用模型去预测-libsvm source implementation of the demo, through training set model, using the model to predict
lssvm_regression
- 最小二乘支持向量回归模型 直接输入训练集和测试样本即可-Least squares support vector regression model direct input training set and test samples
DecisionTree
- 该资源是决策树算法。从“样本特征说明”读取属性,从“样本数据”读取各属性值。 依次取20 —80 (每次递增10 )的样本作为训练集,剩余样本作为测试集测试。-This resource is about decision tree algorithm. The attributes and values can be read by the code from the two txt files. Each time choose a portion of all the data (20
KNN_2011211651
- 应用KNN算法解决0到9的手写数字识别问题,效果在90 以上,内部有两个数据集,一个为训练集(7291个数据),一个为测试数据(2791个数据),程序采用MATLAB编写,另附有文档,程序简洁易懂-Application KNN algorithm to solve 0-9 handwritten digit recognition problem, the effect is more than 90 , the inside has two data sets, one for the tr
bp_demo
- BP神经网络软件(BPGUI):支持手动输入数据和从外部导入数据两种方式;用户可以自定义训练集和测试集占全部数据的百分比,设定完成后,软件随机产生训练集和测试集;支持归一化和不归一化两种数据预处理方式;用户可以自定义网络的结构参数和训练参数;具有绘图功能,可以对比测试集的真实值与预测值;支持网络及数据的保存;具有菜单选项,用户可以通过菜单执行相应的操作;具有右键功能,用户可以通过右键快速执行相应的操作;-The BP neural network software (BPGUI) : suppo
Adaboost
- 一位同学对adaboost的java实现。Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器(强分类器)。-adaboost code
dssTree
- 决策树java工程源码,access数据训练集-Java source tree works, access data training set
PJudgetopic
- 机器学习的方法短信情感分类,喜怒哀惧,43123条短信训练集-SMS emotion machine learning classification methods, joy, anger, sadness and fear, 43123 SMS training set
HMMSeg
- java ,隐马尔科夫的分词算法实现。包含10w条训练集,字典。也可以自己重新添加训练集。-java, hidden Markov segmentation algorithm. 10w of the training set contains dictionary. You can also add your own re-training set.
kenstone
- 用于划分训练集及预测集样本数,可用于偏最小二乘,支持向量机等训练集预测集的划分-ks pls svm
Program
- 模糊逻辑变精度粗糙集算法程序,数据挖掘故障诊断规则,27条训练集,8属性,5类故障。-Rough set of variable precision fuzzy logic algorithm procedures, data mining fault diagnosis rules, 27 train sets, eight properties, five fault.
TestofFaceRecognition
- 基于BP神经网络的人脸识别系统的训练集源代码。-A face recognition system based on BP neural network the training set of source code.
rec
- Java实现将movielens各种规模数据的划分为测试集和训练集-Split movielens dataset to trainset and test set
AdaBoost
- Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器(强分类器)。-Adaboost is an iterative algorithm, the core idea is the same training set for training different classifiers (weak classifiers), then these weak classifiers together to f
svm
- 用matlab编写的SVM模型,用于进行植物分类,包括主程序、训练集和测试集。-Using matlab SVM model, used for plant taxonomy, including the main program, the training and test sets.
Naive_Bayesian_classify_version
- 朴素贝耶稣算法进行文本分类,删除“无用词”,对训练集训练之后完成对测试集的测试,并输出测试集文档属于哪个分类-Tony simple algorithm for text classification Jesus, delete " without words" , after training set for the completion of the test set of tests and test sets the output document belongs Cat
CNN
- 用 卷积神经网络进行手写字符 识别,内含mnist训练集-Handwritten character recognition, containing mnist convolution neural network training set