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SvmFu-3.1
- This is SvmFu, a package for training and testing support vector machines (SVMs). It s written in C++. It uses templates. The advantage of templates is that the types of kernel values and data points can be varied
@dagsvm
- 有向无环图支持向量(DAG-SVMS)多类分类方法,是一种新的多类分类方法。该方法采用了最小超球体类包含作为层次分类依据。试验结果表明,采用该方法进行多类分类,跟已有的分类方法相比有更高的分类精度。
svm_perf.tar
- New training algorithm for linear classification SVMs that can be much faster than SVMlight for large datasets. It also lets you direcly optimize multivariate performance measures like F1-Score, ROC-Area, and the Precisi
MSJ
- MSJ-06Ⅱ-A 美国UNION UNION FLAG 型式番号：SVMS-01 欧洲联盟AEU AEU ENACT 型式番号：AEU-09 AEU ENACT（量产型） 型式编号：AEU-09
svm_v0.01beta.tar
- New in this version: Support for multi-class pattern recognition using maxwins, pairwise [4] and DAG-SVM [5] algorithms. A model selection criterion (the xi-alpha bound [6,7] on the leave-one-out cross-validation e
SvmFu-3.1
- This is SvmFu, a package for training and testing support vector machines (SVMs). It s written in C++. It uses templates. The advantage of templates is that the types of kernel values and data points can be varied
@dagsvm
- 有向无环图支持向量(DAG-SVMS)多类分类方法,是一种新的多类分类方法。该方法采用了最小超球体类包含作为层次分类依据。试验结果表明,采用该方法进行多类分类,跟已有的分类方法相比有更高的分类精度。 -Directed acyclic graph support vector (DAG-SVMS) multi-category classification methods, is a new multi-category class
svm_perf.tar
- New training algorithm for linear classification SVMs that can be much faster than SVMlight for large datasets. It also lets you direcly optimize multivariate performance measures like F1-Score, ROC-Area, and the Precisi
MSJ
- MSJ-06Ⅱ-A 美国UNION UNION FLAG 型式番号：SVMS-01 欧洲联盟AEU AEU ENACT 型式番号：AEU-09 AEU ENACT（量产型） 型式编号：AEU-09 -MSJ-06 Ⅱ-A USA UNION UNION FLAG type designation: SVMS-01 European Union AEU AEU ENACT type designation: AEU-09 AEU EN
call_weka_in_matlab
- This example demonstrates how to use WEKA s SVMs classifier in Matlab.
several-SVMs-algorithms
- 支持向量机几个算法源代码 包括以下算法 cSVM3.1.8 libsvm-2.88 newsvm OnlineSVR_C--_Code svmcla-cSVM3.1.8 libsvm-2.88 newsvm OnlineSVR_C--_Code svmclass
webcat
- 这是一个100 ％纯Java库，您可以使用适用于N元 分析技术的过程分为文本文件。 该计划包括几个不同的分类算法， namelly 支持向量机，贝叶斯Logistic回归，神经网络分类和文本压缩 算法。如支持向量机和贝叶斯Logistic回归，一个 “一对一” 用于多类分类。更详细的说明这些学习算法和可用的选项，请提供的javadocs 。-It is a 100 pure Java library
NewtonLargeScaleSVM
- Paper implementation of A Modifi ed Finite Newton Method for Fast Solution of Large Scale Linear SVMs S. Sathiya Keerthi and Dennis DeCoste Published in Journal of Machine Learning Research - March,2005-Pap
svm_perf.tar
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1
svm_perf
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1
SVMs-for-Object-Detection-and-Beyond
- 图像标注中的 基于SVM的图像目标检测算法-image annotation, SVMs for Object Detection and Beyond
Handwriting-(SVMs)
- Handwriting (SVMs) Programs-Handwriting (SVMs)
Gestures-(SVMs)
- Gestures (SVMs) Machine Learning-Gestures (SVMs)
Regression-(SVMs)
- Machine Learning Regression (SVMs)
Feature-Selection-(SVMs)
- Machine Learning Feature Selection (SVMs)