Parameter Sensitivity Analysis for the Progressive Sampling-Based Bayesian Optimization Method for Automated Machine Learning Model Selection
Zhou W, Luo G. Parameter Sensitivity Analysis for the Progressive Sampling-Based Bayesian Optimization Method for Automated Machine Learning Model Selection. Lecture Notes In Computer Science 2021, 12633: 213-227. PMID: 33768220, PMCID: PMC7990322, DOI: 10.1007/978-3-030-71055-2_17.Peer-Reviewed Original ResearchMachine learning model selectionLearning model selectionSelection of machine learning algorithmsHyper-parameter valuesModel selectionMethod performanceReal-world problemsMachine learning algorithmsBayesian optimization methodLearning algorithmsMachine learningBayesian optimizationResource requirementsData setsDefault valuesOptimization methodMachineAutomated methodPerformanceAlgorithmParameter value changesLearningMethodSelectionOptimization
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