Description: LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数可以解决很多问题；并提供了交互检验(Cross Validation)的功能。该软件包可在http://www.csie.ntu.edu.tw/~cjlin/免费获得。该软件可以解决C-SVM、ν-SVM、ε-SVR和ν-SVR等问题，包括基于一对一算法的多类模式识别问题-The LIBSVM Is Taiwan University Chih- Jen Lin (Lin Chih-Jen) Associate Professor of the development and design of a simple, easy to use and fast and efficient SVM pattern recognition and regression package, he not only compiled perform file system in the Windows series also provides source code to facilitate the improvement modifications and applications on other operating systems the software adjust the parameters involved in SVM is relatively small, a lot of the default parameters, use these default parameters can solve a lot of problems and provide cross-validation (Cross Validation) function. The package can http://www.csie.ntu.edu.tw/ ~ cjlin/free access. The software can solve the problem of the C-SVM, ν-SVM, ε-SVR and ν-SVR, including the multi-class pattern recognition problem based on a one-to-one algorithm Platform: |
Size: 671744 |
Author:王炜豪 |
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Description: 该程序用于十折交叉验证，对原数据集进行随机划分。-The procedure used for the ten-fold cross-validation randomly divided the original data set. Platform: |
Size: 1024 |
Author:魏秀参 |
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Description: 一个交叉验证的matlab源码，语句简单，清楚，易修改，好实现-Matlab source code, a cross-validation statement is simple, clear, easy to modify, good to achieve Platform: |
Size: 1024 |
Author:zhanglingjun |
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Description: 机器学习大牛Dale Schuurmans写的多类SVMs的快速实现算法，可以自己修改核函数，通过K-fold cross validation训练得到最优参数，分类效果很好-Machine learning large cattle Dale Schuurmans write multi-class SVMs fast algorithm, can modify the kernel function, the optimal parameters through K-fold cross validation training classification works well Platform: |
Size: 3072 |
Author:wang |
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Description: 对iris数据集分类 采用bp网络 利用交叉验证优化参数-Classification of the iris data set bp network use of cross-validation optimization parameters Platform: |
Size: 2048 |
Author:李强 |
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Description: LIBSVM是台湾大学林智仁副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数可以解决很多问题；并提供了交互检验(Cross Validation)的功能。该软件可以解决C-SVM、ν-SVM、ε-SVR和ν-SVR等问题，包括基于一对一算法的多类模式识别问题。-The LIBSVM Taiwan University Chih- Jen Lin associate development and design a simple, easy to use and fast and efficient SVM pattern recognition and regression package, he not only compiled perform file system in the Windows series, and also provide the source codeconvenient improvements, modifications and applications on other operating systems the software adjust the parameters involved in SVM is relatively small, a lot of the default parameters, the use of these default parameters can solve a lot of problems provides cross-validation (Cross Validation) function. The software can solve the C-SVM, ν-SVM, ε-SVR and ν-SVR, including one-to-one algorithm multi-class pattern recognition problem Platform: |
Size: 615424 |
Author:张琪 |
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Description: 非常好的5倍交叉验证的程序，可以进行svm分类，推荐大家使用，非常好的-Very good 5-fold cross-validation procedure, svm classification, we recommend using the very good Platform: |
Size: 1024 |
Author:大家 |
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Description: 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 Platform: |
Size: 1024 |
Author:qieqie |
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Description: 提出一种基于粗糙集与支持向量机的客户动态评估方法。根据客户群特点从当前价值、潜在价值和附加价值三个维度分析并构建客户评估指标，利用指标的年增幅率监测客户价值的变化规律。应用粗糙集布尔推理算法、粒子群算法实现连续属性离散化和知识约简。通过10-重交叉验证和网格搜索技术获取最优惩罚因子与核参数，缩放样本数据集并完成支持向量机一对一分类器的训练与测试。结果表明该评估方法能够实现周期性的客户价值评估与细分，具有很强的泛化能力。- A customer dynamic evaluation method based on rough set and support vector machine is advanced. Customer evaluation indicators are analysed and established from three dimensions of current value, potential value and odditional value according to customer characteristics. The change rules of customer value are observed by annual increasing rate of indicators. Continuous attributes are discretized by rough set and boolean inference arithmetic. Redundant attributes are reduced by particle swarm optimization arithmetic. The optimal penalty factor and nuclear parameter are obtained by 10-cross validation and grid-search. The sample data scaling is carried out and the train and test of svm one against one classifier are accomplished. The result indicates that the evaluation method can not only implement the periodic evaluation and classification of customer value, but also have a better generalization. Platform: |
Size: 270336 |
Author:夏天 |
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Description: Grnn神经网络交叉验证，matlab中可实现代码文档-Grnn nerve network cross-validation, matlab in the can be to achieve the code documentation Platform: |
Size: 8192 |
Author:wujing |
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Description: LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件还有一个特点，就是对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数就可以解决很多问题；并且提供了交互检验(Cross Validation)的功能-The LIBSVM Taiwan University Chih- Jen Lin (Lin Chih-Jen) associate development and design of a simple, easy to use and fast and efficient SVM pattern recognition and regression package, he not only compiled executable file in the system of the Windows family also provides the source code, to facilitate improvements, modifications and applications on other operating systems The software also has a feature, that is, adjust the parameters of SVM involved relatively small, a lot of the default parameters, the use of these default parameters can solve many problems cross-validation (Cross Validation) Platform: |
Size: 4052992 |
Author:yangliu |
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Description: matlab源文件，对网络数据进行入侵检测，利用libsvm工具箱，对特征进行分类。内容包括：数据的归一化，参数择优（交叉验证），建立svm模型，性能评价。压缩包内有详细的说明文档。-matlab source files, network data for intrusion detection, to use libsvm toolbox, to classify the characteristics. The contents include: data normalization, parameters and selection of the best (cross-validation), the establishment of SVM model performance evaluation. Compressed within a detailed documentation. Platform: |
Size: 8890368 |
Author:畅畅 |
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Description: 该软件对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数可以解决很多问题；并提供了交互检验(Cross Validation)的功能。-The software adjust the parameters of SVM involved is relatively small, a lot of the default parameters, these default parameters can solve many problems cross-validation (Cross Validation) function. Platform: |
Size: 608256 |
Author:刘昌虎 |
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Description: Implement the K nearest neighbor algorithm by your own instead of using available software.
2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result.
3. Train the classifier using your training dataset, and test the classifier using your testing dataset.
4. Repeat the experiment (Step 2 and Step 3) 30 times. For each time, you need to record the training data accuracy and testing data accuracy. Finally, you can obtain the average training data accuracy and average testing data accuracy.
Platform: |
Size: 161792 |
Author:Chang |
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Description: This a code for doing cross validation in a case of Batik classification-This is a code for doing cross validation in a case of Batik classification Platform: |
Size: 2048 |
Author:yovian |
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Description: 利用保留交叉验证(hold-out)的特征选择，有筛选排序的功能，并最终可以输出对应特征下标。-The use of cross-validation reserved (hold-out) feature selection, there is sort of filtering function, and eventually you can output the corresponding feature subscript. Platform: |
Size: 14336 |
Author:lixiao |
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Description: 使用最小二乘法利用特征进行打分映射，并进行交叉验证-Using the least squares method using the mapping feature for scoring, and conduct cross-validation Platform: |
Size: 1926144 |
Author:周鹏 |
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Search - cross validation