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Radial basis function networkGraph neural networkProbabilistic neural networkRecurrent neural networkGradient boostingGeneralized linear modelBackpropagation through timeAnalysis of covarianceRadial basis function kernelDeep reinforcement learningRestricted boltzmann machineNonlinear mixed-effects modelGeneralized hebbian algorithmActivation functionRpropRelevance vector machineQuantum neural networkGaussian random fieldLocal regressionPrincipal component regressionLarge margin nearest neighborDelta ruleRecursive neural networkArtificial neuronRegularized least squaresPerceptronProximal gradient methodDynamic bayesian networkDeep belief networkStatistical learning theoryConditional random fieldStochastic block modelTensor networkGaussian eliminationModern hopfield networkNeural tangent kernelQuantile regressionHierarchical dirichlet processDecision tree learningGeneral linear modelGeneralized least squaresLinear-fractional programmingConnectionismPoisson regressionKernel regressionGeneralized estimating equationBest linear unbiased predictionDynamic causal modelingRandom forestEvolutionary algorithmFeature learningBayesian vector autoregressionGradient methodLabel propagation algorithmKernel perceptronLinear least squaresRiemann solverAnalytic network processQuantum machine learningSupervised learningRandom effects modelCma-esNeural network gaussian processConformal predictionStochastic optimizationGaussian functionGeneralised logistic functionManifold regularizationControl variatesSimrankLatent growth modelingAssociation rule learningNeuro-fuzzyGeneralized linear mixed modelBackfitting algorithmRecurrence quantification analysisRecursive least squares filterHyperparameterAdditive modelMultivariate gamma functionNested sampling algorithmDeviance information criterionSequential minimal optimizationExtended finite element methodStochastic gradient descentMatrix normal distributionOrdinary least squaresEm algorithm and gmm modelGradient-enhanced krigingMargin classifierMultivariate analysis of varianceLinear probability modelSemiparametric regressionBayesian networkSimple linear regressionMarkov logic networkRidge regressionSpreading activationBackpropagationGenetic algorithm scheduling