Nonlinear Estimation and Modeling of fMRI Data Using Spatio-temporal Support Vector Regression
Wang YM, Schultz RT, Constable RT, Staib LH. Nonlinear Estimation and Modeling of fMRI Data Using Spatio-temporal Support Vector Regression. Lecture Notes In Computer Science 2003, 18: 647-659. PMID: 15344495, DOI: 10.1007/978-3-540-45087-0_54.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceBrainBrain MappingCluster AnalysisComputer SimulationEvoked Potentials, VisualHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingModels, BiologicalModels, StatisticalNonlinear DynamicsPattern Recognition, AutomatedRegression AnalysisReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-AssistedSubtraction TechniqueConceptsGeneral nonlinear frameworkStatistical learning methodologySupport vector regressionNonlinear estimationVector regressionNonlinear frameworkMultiresolution signal analysisLinear modelMotion estimationMulti-task studyMost current methodsData-driven methodSpatio-temporal autocorrelationEstimationVector machineEasy incorporationNoise componentsLearning methodologyNovel formulationSignal analysisData analysisInterpolation