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MathWorks Inc libsvm software package
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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libsvm software package - by Bioz Stars, 2026-03
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MathWorks Inc libsvm software
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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MathWorks Inc svms software package in matlab libsvm
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MathWorks Inc software libsvm-mat-2.82-2
Software Libsvm Mat 2.82 2, 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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MathWorks Inc svm implementation for matlab of the libsvm package
Svm Implementation For Matlab Of The 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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MathWorks Inc libsvm software toolbox
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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
Average 90 stars, based on 1 article reviews
libsvm - by Bioz Stars, 2026-03
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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