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Probabilistic programmingMachine learningPredictive codingRule-based machine learningNeural network gaussian processProbabilistic neural networkProbabilistic classificationSupervised learningManifold regularizationFeature learningStatistical learning theoryConditional random fieldStructured predictionComputational learning theoryPredictive modellingDynamic causal modelingPlatt scalingStabilityRegularizationPredictive analyticsSequence labelingApproximate bayesian computationConstraint satisfactionDiscriminant functionDecision tree learningBootstrap aggregatingComputer simulationConstraint programmingComputational intelligenceInception scoreNested sampling algorithmPrediction by partial matchingComputability theoryMargin classifierEmpirical risk minimizationHyperparameterApproximation algorithmAlgorithmic paradigmAlgorithmic probabilityBayesian structural time seriesStochastic programmingSupport-vector machineFormal specificationFirst-order reliability methodRelevance vector machineComputable functionLinear predictionBayesian knowledge tracingModel of computationOdds algorithmComputational problemGradient boostingDiscriminative modelScoring ruleData-flow analysisSequential minimal optimizationFeatureRestricted boltzmann machinePattern theoryNowcastingCo-trainingMarkov logic networkNeural machine translationConvex optimizationConvolutional neural networkComplexity classComputational mechanicsCoinductionDiagnosisEqualized oddsAkaike information criterionMarkov chain monte carloModel checkingCognitive modelStatistical model validationProbabilistic logicMean absolute percentage errorQuantum neural networkStatistical modelInference engineSystem identificationEarly stoppingDynamic simulationModel-based designReinforcement learningPenalty methodIndex calculus algorithmConsensus clusteringTemporal difference learningSimulation softwareHypercomputationEmpirical bayes methodLocal consistencyPolyalgorithmProbability theoryApproximation theoryCross-validationMotion compensationRecurrent neural networkComputational imaging