Description: 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.). Platform: |
Size: 247586 |
Author:王晓 |
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Description: New in this version:
Support for multi-class pattern recognition using maxwins, pairwise [4] and DAG-SVM [5] algorithms.
A model selection criterion (the xi-alpha bound [6,7] on the leave-one-out cross-validation error).
-New in this version : Support for multi-class pattern recognition u maxwins sing, Pairwise [4] and DAG - SVM [5] algorithms. A mode l selection criterion (the xi-alpha bound [6, 7] on the leave-one-out cross-validation erro r). Platform: |
Size: 43182 |
Author:吴成 |
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Description: 两个关于互相关函数的matlan程序。第一个求互相关，第二个用互相关函数计算时移的大小
-Two on the cross-correlation function matlan procedures. The first order cross-correlation, and the second cross-correlation function by calculating the size of time-lapse Platform: |
Size: 1024 |
Author:conan |
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Description: This MATLAB code produces simple vowels by simulating vocal tract as a transmission line of different cross section areas at different distances from the glottis. Platform: |
Size: 1024 |
Author: |
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Description: 关于图像配准中的交叉相关的实现，可以直接调用。-About Image Registration in the implementation of cross-correlation can be directly called. Platform: |
Size: 5120 |
Author:sai |
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Description: 交互小波分析及其一致性分析，用于分析两个相关的时间序列之间存在的相互关系及一致性。-Cross-wavelet analysis and consistency analysis for the analysis of time series between the two related to the relationship between the existence and consistency. Platform: |
Size: 215040 |
Author:孙 |
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Description: 偏最小二乘算法 利用交叉验证算法计算应提取成分的个数，本程序给出了交叉验证的发放以及回归系数的算法-Partial Least Squares algorithm using cross-validation the number of components to be extracted, this procedure gives the distribution as well as cross-validation regression coefficient of the algorithm Platform: |
Size: 1024 |
Author:zhaowumian |
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Description: 寻找相应的特点,在一副图片的基础是许多光流、立体的视觉和图像间的配准算法。一个发现匹配方法简单,取一小块一个图像,计算其滑动互相与其他的形象,并找到一个高峰。此表格提供了课堂的实现方法。-Finding corresponding features in a pair of images is the basis of many optic flow, stereo vision and image registration algorithms. One straightforward approach to finding a match is to take a small patch of one image, compute its sliding cross-correlation with the other image, and find a peak. This submission supplies a class which implements this method.
Platform: |
Size: 776192 |
Author:王羽 |
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Description: 她的意思其实一开始所有样本也是先分为了两个部分，一个大的部分是训练集，一个小的部分是测试集，然后只是在训练集里面分为常规训练集和一个效验集，且是交叉验证的方式，都全部交叉验证搞完了，再最后单独测试那个小部分的测试集样本？就是你说的training accuracy（常规训练集）, cross validation rate（效验集） and test accuracy（测试集），她说这是标准的方式，而如果全体数据用来训练和交叉验证其实就是把所有的样本全部分为了训练集和效验集，所以就没有test accuracy一说。-In fact, she meant the beginning of all samples is first divided into two parts, a large part of the training set, a small part of the test set, and then only in the training set, which is divided into regular training set and a set of efficacy, and is a cross-validation methods are all over out cross-validation, and then finally the little individual test portion of the test sample set? You said training accuracy (conventional training set), cross validation rate (efficacy set) and test accuracy (test set), she said it was the standard way, and if all the data for training and cross-validation is actually put all the All samples are divided into a training set and efficacy set, so there is no test accuracy one said. Platform: |
Size: 25600 |
Author:liu |
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Description: 十折交叉验证程序，用贝叶斯公式进行具体计算验证在已有条件下是否去打球。-Calculate average decision accurate for Table 1 using Ten-fold-cross validation. Platform: |
Size: 4096 |
Author:郑先木 |
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Description: 交叉验证(Cross-validation)主要用于建模应用中，例如PCR 、PLS 回归建模中。在给定的建模样本中，拿出大部分样本进行建模型，留小部分样本用刚建立的模型进行预报，并求这小部分样本的预报误差，记录它们的平方加和。这个过程一直进行，直到所有的样本都被预报了一次而且仅被预报一次。把每个样本的预报误差平方加和，称为PRESS(predicted Error Sum of Squares)-Cross-validation, sometimes called rotation estimation,[1][2][3] is a model validation technique for assessing how the results of a statistical analysis will generalize to an independent data set. It is mainly used in settings where the goal is prediction, and one wants to estimate how accurately a predictive model will perform in practice. In a prediction problem, a model is usually given a dataset of known data on which training is run (training dataset), and a dataset of unknown data (or first seen data) against which the model is tested (testing dataset).[4] The goal of cross validation is to define a dataset to test the model in the training phase (i.e., the validation dataset), in order to limit problems like overfitting, give an insight on how the model will generalize to an independent dataset (i.e., an unknown dataset, for instance a real problem), etc. Platform: |
Size: 4096 |
Author:liufengfeng |
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Description: 一个带交叉验证的支持向量机分类程序，可以通过改变步长来调整参数及最优平面-SVM program with cross-validation can be adjusted by changing the step size parameters and optimal plane Platform: |
Size: 10240 |
Author:张绍辉 |
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Description: 十折交叉验证算法的代码，我用的比较简单，希望大家能够喜欢-Ten-fold cross-validation algorithm code, I use relatively simple, hope that we can love Platform: |
Size: 12288 |
Author:李阗智 |
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Search - cross validation