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
Platform: |
Size: 521216 |
Author:陳彥霖 |
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Description: 数据属性的权重分析.
用户可以给每个数据实例权重-Weights for data instances
Users can give a weight to each data instance. Platform: |
Size: 49152 |
Author:quarryhero |
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Description: 关于libsvm的编译程序，很适合初学者看，希望能对你们有一定的帮助-Compiler on the libsvm, it is suitable for beginners to see, hoping to have some help to you Platform: |
Size: 80896 |
Author:黄振华 |
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Search - libsvm-weights-2