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[Other] SvmFu-3.1 DL : 0: 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 to suit the problem.-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 to suit the problem.
Update : 2008-10-13 Size : 109.71kb Publisher : 刘霞
[Other resource] @dagsvm DL : 0: 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。
Update : 2008-10-13 Size : 4.93kb Publisher : 苏苏
[Other resource] svm_perf.tar DL : 0: 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 Precision/Recall Break-Even Point.
Update : 2008-10-13 Size : 85.1kb Publisher : 张山
[Other resource] MSJ DL : 0: 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
Update : 2008-10-13 Size : 254.77kb Publisher : zlh
[Other] svm_v0.01beta.tar DL : 0: 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 error). -New in this version : Support for multi-class pattern recognition u maxwins sing, Pairwise [4] and DAG- SVM [5] algorithms. A mode l selection criterion (the xi-alpha bound [6, 7] on the leave-one-out cross-validation erro r).
Update : 2025-02-17 Size : 42kb Publisher : 吴成
[Other] SvmFu-3.1 DL : 0: 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 to suit the problem.-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 to suit the problem.
Update : 2025-02-17 Size : 109kb Publisher : 刘霞
[matlab] @dagsvm DL : 0: 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 classification methods. The method uses the smallest category of super-sphere that contains the level of classification as a basis. The experimental results show that using the method of multiclass classification with the classification method has been compared to a higher classification accuracy.
Update : 2025-02-17 Size : 5kb Publisher : 苏苏
[AI-NN-PR] svm_perf.tar DL : 0: 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 Precision/Recall Break-Even Point.
Update : 2025-02-17 Size : 85kb Publisher : 张山
[AI-NN-PR] MSJ DL : 0: 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 ENACT (production type) type ID: AEU-09
Update : 2025-02-17 Size : 254kb Publisher : zlh
[matlab] call_weka_in_matlab DL : 0: This example demonstrates how to use WEKA s SVMs classifier in Matlab.
Update : 2025-02-17 Size : 49kb Publisher : huglepzh
[Windows Develop] several-SVMs-algorithms DL : 0: 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
Update : 2025-02-17 Size : 4.24mb Publisher : zidianwjq
[Other] SVMs-reference(kernel)1(2) DL : 0: 支持向量机核函数方面的近期外文参考[08-09]-some references about SVMs
Update : 2025-02-17 Size : 6.43mb Publisher : zidianwjq
[Other] SVMs-reference(kernel)2(2) DL : 0: 支持向量机核函数方面的近期外文参考[08-09]-Support Vector Machine Kernel its recent foreign-language reference [08-09]
Update : 2025-02-17 Size : 9.54mb Publisher : zidianwjq
[MultiLanguage] webcat DL : 0: 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 that you can use to apply N-Gram analysis techniques to the process of categorizing text files. The package includes several different categorization algorithms, namelly SVMs, Bayesian Logistic Regression, NN classification and a text compression based algorithm. In the case of SVM and Bayesian Logistic Regression, a "one-against-one" apprach is used for multiclass classification. For a more detailed description of these learning algorithms and the available options please consult the supplied javadocs.
Update : 2025-02-17 Size : 819kb Publisher : liwen
[Other] NewtonLargeScaleSVM DL : 0: 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-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
Update : 2025-02-17 Size : 5kb Publisher : Chetan J
[Graph program] SVMs-for-Object-Detection-and-Beyond DL : 0: 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
Update : 2025-02-17 Size : 1.45mb Publisher : 午阳
[AI-NN-PR] Handwriting-(SVMs) DL : 0: Handwriting (SVMs) Programs-Handwriting (SVMs)
Update : 2025-02-17 Size : 238kb Publisher : 宗晓
[AI-NN-PR] Gestures-(SVMs) DL : 0: Gestures (SVMs) Machine Learning-Gestures (SVMs)
Update : 2025-02-17 Size : 43kb Publisher : 宗晓
[AI-NN-PR] Regression-(SVMs) DL : 0: Machine Learning Regression (SVMs)
Update : 2025-02-17 Size : 42kb Publisher : 宗晓
[AI-NN-PR] Feature-Selection-(SVMs) DL : 0: Machine Learning Feature Selection (SVMs)
Update : 2025-02-17 Size : 75kb Publisher : 宗晓

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