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Stability of Randomized Learning Algorithms
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2005
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Mathematical ProgrammingEngineeringMachine LearningAlgorithmic LearningTraining Data InfluenceConcept DriftData ScienceUncertainty QuantificationMuch ChangesManagementGeneralization PerformanceSupervised LearningComputational Learning TheoryPredictive AnalyticsProbability TheoryComputer ScienceStatistical Learning TheoryRandomized Learning AlgorithmsStatistical InferenceRandomized Algorithm
We extend existing theory on stability, namely how much changes in the training data influence the estimated models, and generalization performance of deterministic learning algorithms to the case ...