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Search - 交叉验证 - List
[
matlab
]
支持向量机参数优化
DL : 1
对支持向量机的参数 C和g 进行了参数优化,分三种:交叉验证优化、遗传算法优化和粒子群算法优化。
Update
: 2010-09-24
Size
: 277.67kb
Publisher
:
ruanjunhu
[
GUI Develop
]
svm_toolbox
DL : 0
支持向量机工具箱,其中包含MATLAB演示程序和一些基本的函数(计算核函数的函数、支持向量机训练函数和参数选择交叉验证函数等)。-SVM Toolbox, which contains MATLAB demo programs and some of the basic functions (Calculation Kernel function, SVM training function and parameter selection cross-validation functions, etc.).
Update
: 2025-02-19
Size
: 242kb
Publisher
:
王晓
[
AI-NN-PR
]
crossvalidate
DL : 0
基于决策树的n则交叉验证分类器 (决策树程序直接调用matlab中的) crossvalidate.m N则交叉验证程序,N可选 NDT.mat 含9个国际公认标准数据集,已做过标么处理,可直接使用 专业-n Based on Decision Tree is cross-validation classification (decision tree directly call the Matlab) cr ossvalidate.m N is cross-validation procedures, N optional NDT.mat with nine internationally recognized standard data sets, what has been done superscript, direct access to professional
Update
: 2025-02-19
Size
: 230kb
Publisher
:
hehuixin
[
AI-NN-PR
]
PRAssign
DL : 0
脱机手写体识别Matlab源程序 包括特征提取、bayes分类器、K近邻分类及最近邻分类。 TestScriptRecognition.m:测试代码 ScriptFeaExtract.m :特征提取 KNearestEstimate.m :K近邻估计 NearestEstimate.m : 最近邻估计 BayesTrain.m :训练bayes分类器 Bayes.m :测试bayes分类器 CrossValidate.m :m交叉验证 -Offline Handwriting Recognition Matlab source including feature extraction, bayes classifier, K-nearest neighbor and nearest neighbor classifier. TestScriptRecognition.m : ScriptFeaExtract.m test code : Feature Extraction KNearestEstimate.m : K-nearest neighbor is estimated NearestEstimate.m : nearest neighbor is estimated BayesTrain.m : Training bayes classifier Bayes.m : Test bayes classifier CrossValidate.m : m cross-certification
Update
: 2025-02-19
Size
: 6kb
Publisher
:
[
Mathimatics-Numerical algorithms
]
svm-crossvaldition
DL : 0
采用c++编写的有关svm交叉验证的程序。-Used c++ Prepared by the SVM cross-validation procedure.
Update
: 2025-02-19
Size
: 158kb
Publisher
:
赵菁
[
AI-NN-PR
]
libsvm-2.85-dense
DL : 0
LIBSVM源码。LIBSVM 是台湾大学林智仁(Chih-Jen Lin)博士等开发设计的一个操作简单、 易于使用、快速有效的通用SVM 软件包,可以解决分类问题(包括C- SVC、 n - SVC )、回归问题(包括e - SVR、n - SVR )以及分布估计(one-class-SVM ) 等问题,提供了线性、多项式、径向基和S形函数四种常用的核函数供选择,可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。-LIBSVM source. LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.
Update
: 2025-02-19
Size
: 24kb
Publisher
:
刘铁军
[
AI-NN-PR
]
crossvalidate
DL : 0
十折交叉验证方法的matlab code 再模式识别中是一个非常重要的试验方法-a very important technique crossvalidate in pattern recognazition
Update
: 2025-02-19
Size
: 1kb
Publisher
:
zhupengfei
[
AI-NN-PR
]
AI_Blood
DL : 0
本次大作业利用K‐近邻(K‐Nearest Neighbor)算法,为给定的训练数据集构造了分类器, 并在测试数据集上进行分类预测,同时计算了Accuracy、Precision、Recall和F‐measure,利用 10‐fold的实验方法进行交叉验证。-The big job to use K-neighbor (K-Nearest Neighbor) algorithm, for a given set of training data classifier is constructed, and the test data sets to classify forecasts, while the calculation of the Accuracy, Precision, Recall and F-measure , using 10-fold cross-validation of experimental methods.
Update
: 2025-02-19
Size
: 987kb
Publisher
:
andy
[
Other
]
smlr.m
DL : 0
编写的多元回归的交叉验证程序 可供做预测模型的同仁参考-Prepared by the multiple regression of cross-validation procedure
Update
: 2025-02-19
Size
: 1kb
Publisher
:
娃娃
[
matlab
]
jiaocha
DL : 0
图像分类中的交叉验证方法,比如说,一个训练集集合,为了得到其中参数的较准确值,就可以使用此类算法-Image Classification Based on cross-validation method, for example, a collection of training set, in order to obtain more accurate values of these parameters, you can use these algorithms
Update
: 2025-02-19
Size
: 1kb
Publisher
:
苏晓蕾
[
matlab
]
sinPolyfit
DL : 0
Matlab 实现多项式曲线拟合(正弦曲线),交叉验证(十折交叉验证)-poly fit ,cross validation
Update
: 2025-02-19
Size
: 1kb
Publisher
:
luoyong
[
matlab
]
P411
DL : 0
模式识别作业第411面的源程序,实现交叉验证算法-Pattern recognition operations side of the source 411 to achieve cross-validation algorithm
Update
: 2025-02-19
Size
: 2kb
Publisher
:
yuchang
[
matlab
]
SVMcgForClass
DL : 2
libsvm的参数c,g的交叉验证子函数-libsvm parameters c, g the cross-validation Functions
Update
: 2025-02-19
Size
: 1kb
Publisher
:
[
matlab
]
crossvalind
DL : 0
matlab的svm中使用的交叉验证函数(kfold),一般libsvm数据包中没有,需要自己加入-The svm matlab to use the cross-validation function (kfold), general packet libsvm no need to add yourself
Update
: 2025-02-19
Size
: 3kb
Publisher
:
weiqier
[
matlab
]
bp
DL : 0
一个matlab写的bpANN程序,参数优化采用交叉验证办法.-Write a matlab bpANN process parameter optimization using cross-validation approach.
Update
: 2025-02-19
Size
: 98kb
Publisher
:
fukaifang
[
matlab
]
CV_split_data
DL : 0
交叉验证源程序 评价模型性能的一种方式-cross validation
Update
: 2025-02-19
Size
: 1kb
Publisher
:
liang
[
Documents
]
10折交叉验证(神经网络)
DL : 2
matlab进行十折交叉验证神经网络,用于预测(Matlab performs ten fold cross validation using neural networks)
Update
: 2025-02-19
Size
: 11kb
Publisher
:
舟山渔夫
[
matlab
]
分类器评估及交叉验证_代码
DL : 0
内有鸢尾花数据的5折交叉验证实验代码,采用的分类器是贝叶斯分类器。(There is a 5-fold cross-validation experiment code for the iris data, and the classifier used is a Bayesian classifier.)
Update
: 2025-02-19
Size
: 15kb
Publisher
:
The_one
[
Mathimatics-Numerical algorithms
]
matlab贝叶斯分类(2)-10折10次交叉验证
DL : 0
利用matlab实现贝叶斯分类,采用10折10次交叉验证法选取训练集和测试集,进行循环测试,最后返回准确率为0.9184.另外,文件内含数据源。(The Bias classification is realized by MATLAB, and the training set and test set are selected by 90% off 10 times cross validation method, and the cycle test is carried out. Finally, the accuracy rate is 0.9184., and the file contains the data source.)
Update
: 2025-02-19
Size
: 3kb
Publisher
:
网安贝
[
AI-NN-PR
]
交叉验证及svr
DL : 0
交叉验证及带例子的支持向量机回归代码,修改可用。(Cross validation and support vector machine regression code with examples can be modified.)
Update
: 2025-02-19
Size
: 20kb
Publisher
:
vein
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