svm with cubic kernel classifier Search Results


svm with cubic kernel classifier  (Time Domain Corporation)
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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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svm classifier using an rbf kernel  (InforMax 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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svm using cubic polynomial kernel with c1⁄4 23  (Verlag GmbH)
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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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svm using cubic polynomial kernel with c1⁄4 23 - by Bioz Stars, 2026-03
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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