svm with cubic kernel classifier Search Results


svm classifier using an rbf kernel  (InforMax Inc)
90
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
https://www.bioz.com/product/svm+with+cubic+kernel+classifier/svm+classifier+using+an+rbf+kernel/pmc03619112-8-60-53
Average 90 stars, based on 1 article reviews
svm classifier using an rbf kernel - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier
svm using cubic polynomial kernel with c1⁄4 23  (Verlag GmbH)
90
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
https://www.bioz.com/product/svm+with+cubic+kernel+classifier/svm+using+cubic+polynomial+kernel+with+c1%E2%81%844+23/10__1002_slash_maco__201407788-216-15-3
Average 90 stars, based on 1 article reviews
svm using cubic polynomial kernel with c1⁄4 23 - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

Image Search Results


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