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leaveoneout_lssvm
- 用于最小二乘支持向量机的名为\"留一法\",可用于支持向量机超参数的确定.-for least squares support vector machine called "a stay", could be used to support vector machine-determined parameters.
清一的网址收藏
- 留一份做收藏吧！绝对的好东西-do to stay a collection! Absolute good things
leaveoneout
- 留一法的matlab源代码，很不错的东西
theguideof48softs
- 48种常用软件的指南，包括软件的介绍和一些简单的配置，留一本在身边，可以很快的学到一些常用软件的用法。
清一的网址收藏
- 留一份做收藏吧！绝对的好东西-do to stay a collection! Absolute good things
leaveoneout_lssvm
- 用于最小二乘支持向量机的名为"留一法",可用于支持向量机超参数的确定.-for least squares support vector machine called "a stay", could be used to support vector machine-determined parameters.
leaveoneout
- 留一法的matlab源代码，很不错的东西-Leave-one of the matlab source code, it is a good thing
theguideof48softs
- 48种常用软件的指南，包括软件的介绍和一些简单的配置，留一本在身边，可以很快的学到一些常用软件的用法。-48 kinds of commonly used software guides, including the introduction of software and some simple configuration, to stay in one side, you can quickly learn the usage of
liuyifa
- 这是一个模式识别中的留一法算法的一个简单仿真分类实例，其中female.txt和male.txt是训练样本，test.txt是测试样本，分类效果非常好，对于模式学习的初学者将会有很大帮助。-This is a pattern recognition algorithm for leave-one simulation of a simple classification example, is one of female.txt and
looms
- 留一模型选择法leave-one-out model selection，适合支持向量机分类和回归时进行参数选择。-looms uses a slightly modified BSVM to perform model selection on binary classification problems. Currently the RBF kernel is supported.
mlr
- 基于matlab的多元线性回归及其留一法预测程序包-Matlab based on the multiple linear regression and its leave-one forecast package
LinuxLibFuncRef
- Linux下的库函数参考手册，放在手边很实用，新鸟老鸟都不妨留一份，以备查询。-Linux lib reference
KZXH
- 考虑单独变量之间的相关性，将其变成扩展变量，再用留一法进行数据处理，最后用SVM进行回归-Consider the correlation between individual variables, to expand into the variable, and then leave one for data processing, and finally with SVM regression
iris_bayes
- 对一组iris数据进行分类的贝叶斯算法，并用留一法计算正确率-Iris on a Bayesian algorithm to classify the data, and calculated using leave-one accuracy
liuyifa
- 模式识别留一法 模式识别留一法 模式识别留一法-Pattern Recognition Pattern Recognition leave-one-leave-one-leave-one pattern recognition pattern recognition pattern recognition leave-one-leave-one-
T-HOMEWORK
- 用Parzen窗法或者kn近邻法估计概率密度函数，得出贝叶斯分类器，对测试样本进行测试，比较与参数估计基础上得到的分类器和分类性能的差别.2． 同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。3．选择上述或以前实验的任意一种方法，用留一法在训练集上估计错误率，与
gender-classification
- Parzen窗法估计概率密度函数，得出贝叶斯分类器 用Fisher线性判别方法求分类器 留一法估计错误率-Parzen Fisher Bayes Leave-one based on height and weight
The-leave-one-out-method
- 模式识别中的留一法。适合于初学者。包括源代码和相关的测试数据。-The leave-one-out method
LOO
- 留一法交叉检验,用于得到留一法交叉检验系数-Leave one out cross-validation for the leave-one-out cross examination coefficient
leaveout
- 用留一法对数据进行训练，假设有N个样本，将每一个样本作为测试样本，其它N-1个样本作为训练样本。(The data were trained by leaving one method. Assuming N samples were used, each sample was used as a test sample and the other N-1 samples were used as training samples.)