svm with a gaussian or radial basis function kernel (MathWorks Inc)
MathWorks Inc is a verified supplier 
90
Structured Review
MathWorks Inc
svm with a gaussian or radial basis function kernel
Svm With A Gaussian Or Radial Basis Function 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/product/gaussian+kernel+function/pmc11652885-327-29-27
Average 90 stars, based on 1 article reviews
Svm With A Gaussian Or Radial Basis Function 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/product/gaussian+kernel+function/pmc11652885-327-29-27
Average 90 stars, based on 1 article reviews
svm with a gaussian or radial basis function kernel - by Bioz Stars,
2026-10
90/100 stars
Images
Related Articles
other:Article Title: Detecting acute bilirubin encephalopathy in neonates based on multimodal MRI images and non-image clinical data. Article Snippet: The specified SVM was created by the function of Article Title: Explainable radiomics based on association of histopathological cell density and multiparametric MR radiomic features for high-risk stratification of prostate cancer patients. Article Snippet: Objective This study aimed to develop an explainable radiomics model for stratifying prostate cancer (PCa) patients with high-risk disease via investigation of the association between cell density (CD) in the PCa region on histopathological images and multiparametric MR (mpMR) radiomics features.. Materials and methods 137,970 radiomic features were calculated from mpMR images (101 PCa regions of 44 patients), and joint histograms (JHs) were derived from dynamic contrast-enhanced (DCE) images for each PCa region.. The association between CD on histopathological images and its corresponding mpMR radiomic features in PCa regions for various grade groups and the three risk groups was evaluated using Spearman’s correlation coefficient. Article Title: Enhanced role of the entorhinal cortex in adapting to increased working memory load Article Snippet: Hence, our analysis was based on a linear SVM as the classifier via the Article Title: Altered neurovascular coupling in depression with childhood maltreatment. Article Snippet: Background: Childhood maltreatment (CM) is a well-established risk to major depressive disorder (MDD) worldwide.. However, most previous research has predominantly examined single imaging modalities, ignoring the potential impact of aberrant couplings between cerebral perfusion and neuronal activity in MDD psychopathology.. This study aims to investigate alterations of neurovascular coupling (NVC) in CM-related MDD. Article Title: Spatial patterning of chloroplasts and stomata in developing cacao leaves Article Snippet: SVM with a Radial Basis Function (RBF) kernel was used for non-linear analysis using Article Title: Mild cognitive impairment is associated with effect of uremic metabolites on gray matter structural changes in end-stage kidney disease. Article Snippet: Then the model construction will be performed using SVM in the Article Title: Two distinct cell types of the medial mammillary body forming segregated subcircuits. Article Snippet: The same Biomarker Discovery:Article Title: Machine learning for Parkinson’s disease: a comprehensive review of datasets, algorithms, and challenges Article Snippet: , Detection of PD using parameter-weighted matrices , • MATLAB , • CNN , • High AUC (ROC) , • Not able to detect at early PD stages • Lack of varied data • Not verifying the model’s effectiveness externally. .. , ML-based PD diagnosis via I-123 FP-CIT scans , • |