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libsvm software package

LIBSVM is an integrated software for support vector classification, The pac...

📦 .zip⚖️ 103.9 MB📅 21 Mar 2026

LIBSVM is an integrated software for support vector classification, The package includes the source code of the library in C++ and Java, and  ‎LIBSVM Tools · ‎LIBSVM data sets · ‎Libsvm faq · ‎Example.

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Most available support vector machines (SVM) software are either quite comp...

📦 .zip⚖️ 82.4 MB📅 19 Aug 2025

Most available support vector machines (SVM) software are either quite complicated The package includes the major library (svm.c and svm.h), two examples.

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The Web address of the package is at dwn.220.v.ua~cjlin/libsvm. LIBSVM is c...

📦 .zip⚖️ 85.7 MB📅 15 Apr 2026

The Web address of the package is at dwn.220.v.ua~cjlin/libsvm. LIBSVM is cur- rently one of the most widely used SVM software.

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The new release (version ) of LIBSVM is an integrated tool for support vect...

📦 .zip⚖️ 96.2 MB📅 12 Feb 2026

The new release (version ) of LIBSVM is an integrated tool for support vector Most available support vector machines (SVM) software are either quite complicated or are To install this tool, please read the README file in the package.

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Libsvm is a simple, easy-to-use, and efficient software for SVM classificat...

📦 .zip⚖️ 107.5 MB📅 20 Apr 2026

Libsvm is a simple, easy-to-use, and efficient software for SVM classification and There are some other useful programs in this package. svm-scale: This is a.

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To install LibSVMsharp, download the Nuget package or run the following BSD...

📦 .zip⚖️ 95.7 MB📅 23 Dec 2025

To install LibSVMsharp, download the Nuget package or run the following BSD Lisence which is compatible with many free software licenses such as GPL.

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how to install LIBSVM on matlab and visual c++ express compiler. when i exe...

📦 .zip⚖️ 107.1 MB📅 18 Oct 2025

how to install LIBSVM on matlab and visual c++ express compiler. when i execute the program make.

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Links, Web, Scholar, Software, Author, Details, Citation LIBSVM: a library ...

📦 .zip⚖️ 76.2 MB📅 10 Mar 2026

Links, Web, Scholar, Software, Author, Details, Citation LIBSVM: a library for support vector machines. available at http://www. csie. ntu. edu. tw/cjlin/libsvm.

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You will use a free SVM software package called LIBSVM that interfaces to M...

📦 .zip⚖️ 27.2 MB📅 24 Jan 2026

You will use a free SVM software package called LIBSVM that interfaces to MATLAB/Octave. To begin, download the LIBSVM Matlab Interface (choose the.

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The program performs ordinal regression with SVM using two different that t...

📦 .zip⚖️ 118.7 MB📅 24 Mar 2026

The program performs ordinal regression with SVM using two different that there is now a package with native dense format implementation in LIBSVM-Tools.

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The above tasks are easily accomplished using, for example, the free libSVM...

📦 .zip⚖️ 73.6 MB📅 09 Nov 2025

The above tasks are easily accomplished using, for example, the free libSVM software package, as we will demonstrate in detail in this section. We have chosen.

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In order to avoid error caused by nonrandom sampling, 10 times of experimen...

📦 .zip⚖️ 27.3 MB📅 11 Nov 2025

In order to avoid error caused by nonrandom sampling, 10 times of experiments are carried out using LibSVM software package, Gauss kernel function, which is.

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LIBSVM Accelerated with GPU using the CUDA Framework Watch a short video on...

📦 .zip⚖️ 109.8 MB📅 14 May 2026

LIBSVM Accelerated with GPU using the CUDA Framework Watch a short video on the capabilities of the GPU-accelerated LIBSVM package here THIS SOFTWARE IS PROVIDED BY THE AUTHOR "AS IS" AND ANY EXPRESS OR.

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Software. Packages. There exist well-established numerical packages (e.g., ...

📦 .zip⚖️ 64.2 MB📅 21 Sep 2025

Software. Packages. There exist well-established numerical packages (e.g., NAG and LIBSVM Chang and Lin () developed a user-friendly library called.

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The design and implementation of SVM classifiers is accomplished using the ...

📦 .zip⚖️ 30.2 MB📅 05 Jun 2026

The design and implementation of SVM classifiers is accomplished using the libsvm software package, which employs an SMO training algorithm51 very much.

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