Description: Feature scaling for kernel Fisher discriminant analysis using leave-one-out cross validation.
FS-KFDA is a package for implementing feature scaling for kernel fisher discriminant analysis.-Feature scaling for kernel Fisher discrim inant analysis using leave-one-out cross vali dation. FS-KFDA is a package for implementing f eature scaling for kernel fisher discriminant analysis. Platform: |
Size: 511443 |
Author:ihatexlet |
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Description: 基于决策树的n则交叉验证分类器
（决策树程序直接调用matlab中的）
crossvalidate.m N则交叉验证程序，N可选
NDT.mat 含9个国际公认标准数据集，已做过标么处理，可直接使用
专业-n Based on Decision Tree is cross-validation classification (decision tree directly call the Matlab) cr ossvalidate.m N is cross-validation procedures, N optional NDT.mat with nine internationally recognized standard data sets, what has been done superscript, direct access to professional Platform: |
Size: 235527 |
Author:hehuixin |
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Description: Performs Principal Component Analysis cross validation to determine the true rank of an X-block.-Performs Principal Component Analysis cr oss validation to determine the true rank of an X - block. Platform: |
Size: 1734 |
Author:李楠 |
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Description: 本程序主要用来计算根据灰色理论建立的模型的预测值。
应用的数学模型是 GM(1,1)。-This procedure is mainly used to calculate the basis of gray theory model of the predicted value. Application of mathematical model is GM (1,1). Platform: |
Size: 238592 |
Author:真实的 |
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Description: LIBSVM源码。LIBSVM 是台湾大学林智仁(Chih-Jen Lin)博士等开发设计的一个操作简单、
易于使用、快速有效的通用SVM 软件包，可以解决分类问题（包括C- SVC、
n - SVC ）、回归问题（包括e - SVR、n - SVR ）以及分布估计（one-class-SVM ）
等问题，提供了线性、多项式、径向基和S形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。-LIBSVM source. LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation. Platform: |
Size: 24576 |
Author:刘铁军 |
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Description: 线性判别中的交叉验证，程序完善，通俗易懂，是一个好资料-LDA cross-validation of the procedures improved, user-friendly, is a good information Platform: |
Size: 1024 |
Author:芦莹 |
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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: waili小波算法包，在windows下编译通过的lib-Uses integer wavelet transforms based on the lifting Scheme
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Provides various wavelet transforms of the Cohen-Daubechies-Feauveau family of biorthogonal
wavelets
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Provides crop and merge operations on wavelet-transformed images
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Provides noise reduction based on wavelet thresholding using Generalized Cross Validation
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Provides scaling of images
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Provides edge enhancement of images
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Provides also some simple image operations(addition and subtraction of images)
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Allows different image representations(RGB,YUV,Lab,...)
Platform: |
Size: 62464 |
Author:jiaozi |
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Search - cross validation