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LIBSVM specifications

Information


Unique identifier OMICS_23789
Name LIBSVM
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
License BSD 3-clause “New” or “Revised” License
Computer skills Advanced
Version 3.22
Stability Stable
Source code URL https://codeload.github.com/cjlin1/libsvm/tar.gz/v322
Maintained Yes

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Maintainer


  • person_outline Chih-Jen Lin <>

Publication for LIBSVM

LIBSVM in publications

 (207)
PMCID: 5887073
PMID: 29707198
DOI: 10.5256/f1000research.14869.r30541

[…] computed for each run were z-scored per voxel. multivariate decoding was performed on these z-scored β weights using linear support vector machines [svm; pymvpa’s linearcsvmc implementation of the libsvm classification algorithm; , in a within-subject leave-one-run-out cross-validation of 5-way multi-class classification of musical genres. leave-one-out cross-validation was performed in order […]

PMCID: 5948826
PMID: 29614778
DOI: 10.3390/s18041060

[…] mcr scores of these three methods, we directly fetch the mcr values for comparison., in the process of svm training and predicting, we use the open source tool “library for support vector machines (libsvm [])” to perform svm training and predicting tasks. libsvm is an integrated software for support vector classification, regression and distribution estimation. it provides an easy-to-use […]

PMCID: 5816825
PMID: 29487520
DOI: 10.3389/fnbot.2018.00002

[…] amounts of disparate datasets. the two datasets that were collected during this study represent gait with multiple asymmetric changes and hence, can be used to find patterns. for this study the libsvm library (chang and lin, ) was used because it is easy to implement and it is widely used for research data. the machine is trained using labels and a training dataset. the labels are long […]

PMCID: 5827348
PMID: 29346559
DOI: 10.1093/gigascience/giy001

[…] we chose the “%incmse” (increase of mean squared error) to represent the criteria of relative importance measure. for svr, we utilized the e1071 r package, which provides functionalities to use the libsvm library []. the absolute values of the coefficients of the normal vector to the “optimal” hyperplane can be considered the relative importance of each predictor variable contributing […]

PMCID: 5818887
PMID: 29546047
DOI: 10.1155/2018/8124950

[…] to specific features of the methods (). the different method classes had different features. in the functions class, most of the methods use a functional solution for modeling the data, such as libsvm [] and logistic regression [], and in most cases, few mechanisms are available for ensemble learning, such as voting or resampling. however, in the meta class, the methods use resampling […]


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LIBSVM institution(s)
Department of Computer Science, National Taiwan University, Taipei, Taiwan
LIBSVM funding source(s)
Supported by the National Science Council of Taiwan via the grants NSC 89-2213-E- 002-013 and NSC 89-2213-E-002-106.

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