linear svms implemented in libsvm Search Results


libsvm-mat tool version 3.0-1  (MathWorks Inc)
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svm classifier  (MathWorks Inc)
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svms software package in matlab libsvm  (MathWorks Inc)
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libsvm package  (MathWorks Inc)
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MathWorks Inc libsvm package
Styles 2016 KEY RESOUCES TABLE
Libsvm Package, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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libsvm toolbox  (MathWorks Inc)
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MathWorks Inc libsvm toolbox
Styles 2016 KEY RESOUCES TABLE
Libsvm Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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svm classifiers  (MathWorks Inc)
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MathWorks Inc svm classifiers
Styles 2016 KEY RESOUCES TABLE
Svm Classifiers, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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libsvm software  (MathWorks Inc)
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MathWorks Inc libsvm software
Styles 2016 KEY RESOUCES TABLE
Libsvm Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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libsvm software package  (MathWorks Inc)
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MathWorks Inc libsvm software package
Styles 2016 KEY RESOUCES TABLE
Libsvm Software Package, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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toolbox libsvm 3.17  (MathWorks Inc)
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MathWorks Inc toolbox libsvm 3.17
Styles 2016 KEY RESOUCES TABLE
Toolbox Libsvm 3.17, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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toolbox libsvm 3.17 - by Bioz Stars, 2026-04
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linear, hard margin svm  (MathWorks Inc)
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MathWorks Inc linear, hard margin svm
Styles 2016 KEY RESOUCES TABLE
Linear, Hard Margin Svm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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libsvm 3.17  (MathWorks Inc)
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MathWorks Inc libsvm 3.17
Styles 2016 KEY RESOUCES TABLE
Libsvm 3.17, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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libsvm  (MathWorks Inc)
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MathWorks Inc libsvm
Parameter selection and construction of process map based on <t>SVM</t> prediction. (A) Training data points selection based on UD with three parameters and four levels and 12 tests (U 12 (P 3 )). (B) 3D process map generated by support vector machine classifier <t>libsvm</t> with regularization parameter C = 10 and Gaussian kernel scale parameter g = 0.1.
Libsvm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/libsvm/product/MathWorks Inc
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Image Search Results


Styles 2016 KEY RESOUCES TABLE

Journal: Cell systems

Article Title: Exploring Quantitative Yeast Phenomics with Single Cell Analysis of DNA Damage Foci

doi: 10.1016/j.cels.2016.08.008

Figure Lengend Snippet: Styles 2016 KEY RESOUCES TABLE

Article Snippet: SVM; libSVM package and libSVM interface to MATLAB , Chang and Lin, 2011 https://www.csie.ntu.edu.tw/~cjlin/libsvm/ , .

Techniques: Recombinant, RNA Extraction, cDNA Synthesis, SYBR Green Assay, Labeling, Sequencing, Derivative Assay, Plasmid Preparation, Software

Parameter selection and construction of process map based on SVM prediction. (A) Training data points selection based on UD with three parameters and four levels and 12 tests (U 12 (P 3 )). (B) 3D process map generated by support vector machine classifier libsvm with regularization parameter C = 10 and Gaussian kernel scale parameter g = 0.1.

Journal: International Journal of Bioprinting

Article Title: Evaluation of Printing Parameters on 3D Extrusion Printing of Pluronic Hydrogels and Machine Learning Guided Parameter Recommendation

doi: 10.18063/ijb.v7i4.434

Figure Lengend Snippet: Parameter selection and construction of process map based on SVM prediction. (A) Training data points selection based on UD with three parameters and four levels and 12 tests (U 12 (P 3 )). (B) 3D process map generated by support vector machine classifier libsvm with regularization parameter C = 10 and Gaussian kernel scale parameter g = 0.1.

Article Snippet: In this study, an open source SVM software LIBSVM was used on MATLAB to train the model and acquire the parameters w and b [ ].

Techniques: Selection, Generated, Plasmid Preparation