搜索资源列表
knndemo
- K近邻分类器，实现了对iris数据集的分类，并且使用了交叉验证的方法，来验证求得的最优的K值。-K-nearest neighbor classifier to achieve the classification of iris data set and cross-validation of the method used to verify the optimal value of K obtained.
CrossValidation
- 多元线性回归中应用多倍交叉验证Crossvalitation技术评估回归方程的性能-Multiple linear regression fold cross-validation application performance Crossvalitation technical assessment of the regression equation
GRT_GUI_Latest_Windows
- 属于机器学习的范畴，通过输入训练样本，通过分类或线性回归得到标签的假设性函数-The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library that has been specifically designed for real-time gesture recognition. In addition to a comprehensive C++ AP
pls
- 单因变量偏最小二乘回归matlab程序 程序尚不完善，固定提取了3个主成分，没有做寻求最佳主成分个数；没有做交叉有效性检验 -Single dependent variable and partial least squares regression matlab The program is not perfect, the fixed extract 3 principal components, do not seek the best number of principa
FisherMultiClassDiscri
- 基于Fisher准则多分类特征提取，投影后采用最近邻算法和一对一投票法进行分类和交叉验证，附上数据实例-After feature extraction based on Fisher criterion with multicalsses, the projections are discriminated ultilizing the nearest neighbor algorithm and one-versus-one ballot to have a cross validation
crossvalidation
- Cross-Validation procedure
KNN
- KNN 交叉验证，选出KNN算法中较优的N值-KNN cross validation, for the choice of the best N in KNN algorithm
66409771gcv
- 广义的交叉验证程序, 对模型进行参数优化-Generalized cross-validation procedure, the model parameter optimization
StatLSSVM
- 支持向量机工具箱By Kris De Brabanter,标准的非参数回归，健壮的回归，一些调优标准等经典交叉验证，较好的交互性-The StatLSSVM toolbox is written so that only a few lines of code are necessary in order to perform standard nonparametric regression, regression with correlated errors and robust regre
programs-and-data
- 通过KNN分类法，根据酒的某些性状信息对酒进行分类。然后，通过交叉验证对分类结果进行测试。最后，对数据进行主成分分析，再进行分类。-By KNN classification, according to certain traits information wine wine classification. Then, through cross-validation of the classification tested. Finally, principal component analy
Classification
- Classification code using cross validation
SVM1_CV
- 基于交叉验证的支持向量机算法，程序内可实现选择最佳参数，并对输入数据分类输出-Cross-validation based on support vector machine algorithm, can be realized within the program to the best parameters, and input data classification output
PLS
- MATLAB,PLS,使用了交互验证，计算相关系数-MATLAB, PLS, using a cross-validation, correlation coefficient, etc.
newbayes
- 基于Python的贝叶斯实现，同时包含改进贝叶斯算法，同时采用采用留存交叉验证进行验证。-Python-based Bayesian implementations, including improved Bayesian algorithm, while using cross-validation using retained for verification.
SVM
- 交叉验证法寻优的支持向量机突水预测模型，带突水原始数据库-Support vector machine prediction model of water inrush optimization of cross-validation with water inrush original
feature_stacker
- feather_stacker主要用于一个数据集提取多个特征时，对特征进行联合的算法。-In many real-world examples, there are many ways to extract features a dataset. Often it is beneficial to combine several methods to obtain good performance. This example shows how to use FeatureUnion to c
crossvalind
- 实现机器学习（machine learning）中的交叉验证（cross validation）的代码 本身是在相关的toolbox中可以直接使用的function，但是对于没有下载toolbox的朋友，可以使用这个代码-This code is used to conduct cross validation in machine learning. It is a function which can be directly utilized if you have downloa
Dropout1
- Code for Deep Learning for Detecting Robotic Grasps.Intended to be a simple codebase which will allow you to load the grasping dataset, process and whiten it, train a network, and perform grasp detection. Currently does not contain more advanced
LS-SVMh
- LS-SVMh回归测试程序代码，包括模型参数、交叉验证优化参数、回归预测-Regression test code template，Including model parameters, cross validation optimization parameters, regression prediction
code_1
- 在机器学习中利用欧氏距离设计一个KNN分类器，实现五折交叉验证，并用PCA进行降维-Develop a k-NN classifier with Euclidean distance and simple voting.Perform 5-fold cross validation, find out which k performs the best (in terms of accuracy)。Use PCA to reduce the dimensionality to 6, then p