svm kernels Search Results


90
Geron Bio optimization c svm model using the rbf kernel
Optimization C Svm Model Using The Rbf Kernel, supplied by Geron Bio, 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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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
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brain tumor segmentation and classification in mri using clustering and kernel-based svm - by Bioz Stars, 2026-04
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DataRobot Inc svm with radial kernel
Svm With Radial Kernel, supplied by DataRobot 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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Time Domain Corporation svm with cubic kernel classifier
Svm With Cubic Kernel Classifier, supplied by Time Domain Corporation, 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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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
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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
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InforMax Inc svm classifier using an rbf kernel
Studies on Pre-movement or Pre-imagery motor task categorized by the main findings .
Svm Classifier Using An Rbf Kernel, supplied by InforMax 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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Horien International Co Ltd svm (linear kernel)
Studies on Pre-movement or Pre-imagery motor task categorized by the main findings .
Svm (Linear Kernel), supplied by Horien International Co Ltd, 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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IEEE Access kernel-based svm
Studies on Pre-movement or Pre-imagery motor task categorized by the main findings .
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
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Verlag GmbH svm using cubic polynomial kernel with c1⁄4 23
Studies on Pre-movement or Pre-imagery motor task categorized by the main findings .
Svm Using Cubic Polynomial Kernel With C1⁄4 23, supplied by Verlag GmbH, 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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Chennai Corporation svm kernel function
Studies on Pre-movement or Pre-imagery motor task categorized by the main findings .
Svm Kernel Function, supplied by Chennai Corporation, 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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SourceForge net svm method with gaussian kernel function
Studies on Pre-movement or Pre-imagery motor task categorized by the main findings .
Svm Method With Gaussian Kernel Function, supplied by SourceForge net, 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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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

Studies on Pre-movement or Pre-imagery motor task categorized by the main findings .

Journal: Frontiers in Human Neuroscience

Article Title: How capable is non-invasive EEG data of predicting the next movement? A mini review

doi: 10.3389/fnhum.2013.00124

Figure Lengend Snippet: Studies on Pre-movement or Pre-imagery motor task categorized by the main findings .

Article Snippet: Wang and Makeig, , 4 , 128 Electrodes , Delayed movement protocol; gazing toward the direction cue, reaching for it with one hand, or both activities , Not stated explicitly: BP, ERD, CNV , Segmented 700 ms after direction cue, baseline correction, removal of noisy electrodes and spatial filtering with ICA using Extended Informax algorithm , SVM classifier using an RBF kernel , Pre-movement EEG signals carry information about the direction of the intended movement, classification of go-left and go-right planning with average accuracy of 80.25 ± 2.22.

Techniques: Comparison