Description: 是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類，以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM. -Main features of LIBLINEAR include
Same data format as LIBSVM, our general-purpose SVM solver, and also similar usage
Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer
Cross validation for model selection
Probability estimates (logistic regression only)
Weights for unbalanced data
MATLAB/Octave, Java interfaces
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Author:陳彥霖 |
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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。-LIBSVM Taiwan University, Lin Zhiren (Lin Chih-Jen) and associate development and design of a simple, easy to use and fast and efficient SVM pattern recognition and regression of the package, he can not only provide a compiled implementation of the system in the Windows family of documents , also provides the source code to facilitate the improvement, modification and other operating systems applications the software has a feature that the parameters of the SVM involves relatively small adjustment to provide a lot of default parameters, use the default parameters on can solve many problems and to provide a cross-validation (Cross Validation) feature. Platform: |
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Author:朱业林 |
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Description: 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 Platform: |
Size: 3072 |
Author:weiqier |
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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: 使用交叉验证对KNN算法和SVM算法进行参数优选，其中KNN使用matlab自带的knnclassify，svm使用LIBsvm-Using cross validation for the choosing of hyperparameter for KNN and SVM Platform: |
Size: 1024 |
Author:天钦 |
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Description: How to install the libsvm for MATLAB on Unix machine
Linear-kernel SVM for binary classification
kernel SVM for binary classification
cross validation for C and Gamma
multi-class SVM: one-vs-rest (OVR)
More ready-to-use matlab example
Available matlab codes to download Platform: |
Size: 1572864 |
Author:hoangthom |
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Search - libsvm cross validation matlab