搜索资源列表
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 some commonly used software.
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 male.txt training samples, te
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,与在测试集上得到的错误率进行比较。-Use Parzen Wi
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.)