SVMlight protocols

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SVMlight specifications

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Unique identifier OMICS_14776
Name SVMlight
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages C
Computer skills Advanced
Version 6.02
Stability Stable
Maintained Yes

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Publication for SVMlight

SVMlight in pipeline

2013
PMCID: 3706434
PMID: 23874456
DOI: 10.1371/journal.pone.0067863

[…] residues in order to train a neural network. the other three methods listed in did not use available cost models in the machine learning methods they used, including libsvm (cbrc-poodle) or svmlight (prdos2) or any form of weighting or oversampling in a neural network (multicom-refine). because the percentage of disordered residues in protein structures is relatively low, it may […]


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SVMlight in publications

 (139)
PMCID: 5838950
PMID: 29506465
DOI: 10.1186/s12859-018-2079-4

[…] the svm model was trained and validated (in 50/50 random split) on a subset of 1921 positive (with the interface residue) and 3865 negative (non-interface residue only) sentences using program svmlight with linear, polynomial and rbf kernels [–]. the sentences were chosen in the order of abstract appearance in the tm results., the svm performance was evaluated in usual terms of precision […]

PMCID: 5834480
PMID: 29535692
DOI: 10.3389/fmicb.2018.00323

[…] from 20 to 23 to adjust above three properties., we used different machine learning techniques for developing prediction models. the approaches are as follows:, support vector machine , we used svmlight version 6.02 package of svm for building the prediction models, which is a highly successful machine learning classifier (). this package consists of various kernels and machine learning […]

PMCID: 5856110
PMID: 29360790
DOI: 10.3390/s18020322

[…] using the umc 65 nm cmos technology to generate the enough training and testing crps. shows the prediction results for the proposed 64-bit ro puf with and without reconfigurability using the tool svmlight []. the reconfigurability is disabled by fixing the value of nclk in the lfsr counter. the prediction accuracy is higher than 90% with only 1000 training crps for the ro puf without […]

PMCID: 5635478
PMID: 29090077
DOI: 10.1155/2017/7575280

[…] experiment, we use metamap java api for ner and stanford corenlp java api for openie and implement python program for em-based methods. for model comparison, we execute weka java-based software and svmlight (http://svmlight.joachims.org), which is implemented in c programming language, on mac os with intel core i5 processor running at 2.5 ghz and 8 gb of physical memory. […]

PMCID: 5382675
PMID: 28383059
DOI: 10.1038/srep46070

[…] and minimum free energy (mfe) from the predicted secondary structure of individual srnas and non-srnas., support vector machine (svm) classifier was used to identify srnas and non-srnas. we employed svmlight tool provided by t. joachims, which allows user to select different kernels and parameters to find a decision surface that maximizes the margin between data points of two classes (srnas […]


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SVMlight institution(s)
Dipartimento di Informatica e Sistemistica Antonio Ruberti, Università di Roma La Sapienza, Roma, Italy; Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti, Consiglio Nazionale delle Ricerche, Roma, Italy
SVMlight funding source(s)
This work was supported by CNR-Agenzia2000, National Research Program Optimization methods for Support Vector Machines training.

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