Review




Structured Review

IEEE Access kernel-based svm
Kernel Based Svm, supplied by IEEE Access, 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/kernel-based svm/product/IEEE Access
Average 90 stars, based on 1 article reviews
kernel-based svm - by Bioz Stars, 2026-04
90/100 stars

Images



Similar Products

90
Raipur Municipal brain tumor segmentation and classification in mri using clustering and kernel-based svm
Brain Tumor Segmentation And Classification In Mri Using Clustering And Kernel Based Svm, supplied by Raipur Municipal, 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/brain tumor segmentation and classification in mri using clustering and kernel-based svm/product/Raipur Municipal
Average 90 stars, based on 1 article reviews
brain tumor segmentation and classification in mri using clustering and kernel-based svm - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
MathWorks Inc svm-based regression model with a linear kernel
Svm Based Regression Model With A Linear Kernel, 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/svm-based regression model with a linear kernel/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
svm-based regression model with a linear kernel - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
IEEE Access kernel-based svm
Kernel Based Svm, supplied by IEEE Access, 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/kernel-based svm/product/IEEE Access
Average 90 stars, based on 1 article reviews
kernel-based svm - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
SoftMax Inc polynomial kernel based svm
Polynomial Kernel Based Svm, supplied by SoftMax 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/polynomial kernel based svm/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
polynomial kernel based svm - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
SoftMax Inc rbf kernel based svm
The multistage learning approach and decision level fusion of individual classifiers. “Fusion 1” refers to the hard-level combination of the individual predictions obtained from <t>RBF</t> and Polynomial kernel based SVMs. “Fusion 2” refers to the hard-level combination of the individual predictions obtained from Softmax function and RBF kernel based <t>SVM.</t> “Fusion 3” refers to the hard-level combination of the individual predictions obtained from Softmax function and Polynomial kernel based SVM. “Fusion 4” refers to the hard-level combination of the individual predictions obtained from Softmax function, RBF and Polynomial kernel based SVMs
Rbf Kernel Based Svm, supplied by SoftMax 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/rbf kernel based svm/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
rbf kernel based svm - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
MathWorks Inc linear kernel-based svm
The multistage learning approach and decision level fusion of individual classifiers. “Fusion 1” refers to the hard-level combination of the individual predictions obtained from <t>RBF</t> and Polynomial kernel based SVMs. “Fusion 2” refers to the hard-level combination of the individual predictions obtained from Softmax function and RBF kernel based <t>SVM.</t> “Fusion 3” refers to the hard-level combination of the individual predictions obtained from Softmax function and Polynomial kernel based SVM. “Fusion 4” refers to the hard-level combination of the individual predictions obtained from Softmax function, RBF and Polynomial kernel based SVMs
Linear Kernel Based 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
https://www.bioz.com/result/linear kernel-based svm/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
linear kernel-based svm - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


The multistage learning approach and decision level fusion of individual classifiers. “Fusion 1” refers to the hard-level combination of the individual predictions obtained from RBF and Polynomial kernel based SVMs. “Fusion 2” refers to the hard-level combination of the individual predictions obtained from Softmax function and RBF kernel based SVM. “Fusion 3” refers to the hard-level combination of the individual predictions obtained from Softmax function and Polynomial kernel based SVM. “Fusion 4” refers to the hard-level combination of the individual predictions obtained from Softmax function, RBF and Polynomial kernel based SVMs

Journal: Applied Intelligence

Article Title: Decision and feature level fusion of deep features extracted from public COVID-19 data-sets

doi: 10.1007/s10489-021-02945-8

Figure Lengend Snippet: The multistage learning approach and decision level fusion of individual classifiers. “Fusion 1” refers to the hard-level combination of the individual predictions obtained from RBF and Polynomial kernel based SVMs. “Fusion 2” refers to the hard-level combination of the individual predictions obtained from Softmax function and RBF kernel based SVM. “Fusion 3” refers to the hard-level combination of the individual predictions obtained from Softmax function and Polynomial kernel based SVM. “Fusion 4” refers to the hard-level combination of the individual predictions obtained from Softmax function, RBF and Polynomial kernel based SVMs

Article Snippet: “Fusion 2” refers to the hard-level combination of the individual predictions obtained from Softmax function and RBF kernel based SVM.

Techniques:

The detailed presentation of accuracy values obtained from applied individual and ensemble learning scenarios for three data-sets (average accuracy values of 5-folds are given)

Journal: Applied Intelligence

Article Title: Decision and feature level fusion of deep features extracted from public COVID-19 data-sets

doi: 10.1007/s10489-021-02945-8

Figure Lengend Snippet: The detailed presentation of accuracy values obtained from applied individual and ensemble learning scenarios for three data-sets (average accuracy values of 5-folds are given)

Article Snippet: “Fusion 2” refers to the hard-level combination of the individual predictions obtained from Softmax function and RBF kernel based SVM.

Techniques: Standard Deviation, Plasmid Preparation