Results 51 to 60 of about 9,169,616 (322)
Probabilistic Decision Trees using SVM for Multi-class Classification [PDF]
, 2013 In the automotive repairing backdrop, retrieving from previously solved incident the database features that could support and speed up the diagnostic is of great usefulness.
BOUAMAMA, Karima +9 more
core +1 more source
Majalah Geografi Indonesia, 2016 ABSTRAK Perkembangan teknologi penginderaan jauh berkembang pesat terutama pasca perang dingin. Teknologi penginderaan jauh sangat baik dijadikan data pembuatan peta penggunaan lahan, karena kebutuhan pemetaan yang semakin tinggi terutama untuk ...
Khikmanto Supribadi +2 more
doaj +1 more source
Data Selection for Support Vector Machine Classifiers [PDF]
, 2000 The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classi er, is formulated as a concave minimization problem and solved by a nite number of linear programs.
Olvi L. Mangasarian +3 more
core +1 more source
Unsupervised two-class and multi-class support vector machines for abnormal traffic characterization [PDF]
, 2009 Although measurement-based real-time traffic classification has received considerable research attention, the timing constraints imposed by the high accuracy requirements and the learning phase of the algorithms employed still remain a challenge. In this
Hutchison, D. +3 more
core +6 more sources
Intelligent Diagnosis and Research of Epileptic Diseases Based on EEG Signals
Journal of Harbin University of Science and Technology, 2018 Aiming at the problem of low accuracy and classification of epileptic EEG in medical diagnosis,a signal classification and detection technique based on particle swarm optimization (PSO) was proposed to optimize the support vector machine (SVM) based on ...
LIU Chang-yuan, ZHANG Fu-hao, WEI Qi
doaj +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
A New Approach to Optimize SVM for Insulator State Identification Based on Improved PSO Algorithm
Sensors, 2022 The failure of insulators may seriously threaten the safe operation of the power system, where the state detection of high-voltage insulators is a must for the normal and safe operation of the power system.
Lepeng Song +5 more
doaj +1 more source
IEEE Access, 2021 Fault diagnosis technology is key to the safe and stable operation of wind turbines. An effective fault diagnosis technology for wind turbines can quickly identify fault types to reduce the operation and maintenance costs of wind farms and improve power ...
Wumaier Tuerxun +4 more
semanticscholar +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno +19 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP‐A) is an inflammatory central nervous system disorder with variable outcomes. Relapse occurs in a subset of patients, but early predictors remain unclear. We aimed to identify admission‐available features associated with 1‐year recurrence and develop an interpretable ...
Qingting Hong +10 more
wiley +1 more source