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BackpropagationProbabilistic neural networkBackpropagation through timeGeneralized hebbian algorithmDeep reinforcement learningRestricted boltzmann machineGeneral regression neural networkSupervised learningDelta ruleTemporal difference learningRecurrent neural networkReinforcement learningPerceptronDecision tree learningRadial basis function networkGraph neural networkRadial basis function kernelGradient boostingLabel propagation algorithmRelevance vector machineEmpirical risk minimizationBelief propagationBackfitting algorithmProbabilistic programmingStatistical learning theoryQ-learningActivation functionHyperparameterSequential minimal optimizationTikhonov regularizationConnectionismFeature learningEarly stoppingNested sampling algorithmBayesian knowledge tracingMarkov logic networkRecursive least squares filterEvolutionary algorithmStabilityM-theoryConformal predictionLearning rateRandom forestModern hopfield networkManifold regularizationStochastic gradient descentHierarchical dirichlet processHinge lossAssociation rule learningInverse iterationFirst-order reliability methodRecursive neural networkConditional random fieldLarge margin nearest neighborQuantum neural networkExponential backoffRegularized least squaresNeural tangent kernelArtificial neuronAlgorithmic probabilityLogitboostShortest path faster algorithmApproximate bayesian computationBayesian structural time seriesInductive logic programmingSemi-supervised learningGradient descentFeedforwardIndex calculus algorithmSpreading activationSimulated annealingDynamic causal modelingReservoir computingAdjoint state methodConstraint satisfactionRecursive bayesian estimationRastrigin functionInductive biasRecurrence quantification analysisOdds algorithmInception scoreEvolvabilityNeural network gaussian processHard sigmoidPrincipal component regressionBayesian vector autoregressionGenetic algorithm schedulingK-svdKnowledge graph embeddingJunction tree algorithmSequential quadratic programmingAlgorithmic paradigmHough transformCover's theoremKaczmarz methodKernel perceptronRobust regressionRisch algorithmStochastic universal samplingBiconjugate gradient method