On hyperparameter optimization of machine learning algorithms: Theory and practice

Li Yang; Abdallah Shami

doi:https://doi.org/10.1016/j.neucom.2020.07.061

On hyperparameter optimization of machine learning algorithms: Theory and practice

2020 · Neurocomputing · 3,249 citations · 0 from inside this corpus

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15 of 15 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

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On hyperparameter optimization of machine learning algorithms: Theory and practice→Scikit-learn: Machine Learning in PythonLegacy edge — source detail unavailable
On hyperparameter optimization of machine learning algorithms: Theory and practice→Neural networks for pattern recognitionLegacy edge — source detail unavailable
On hyperparameter optimization of machine learning algorithms: Theory and practice→Numerical optimizationLegacy edge — source detail unavailable
On hyperparameter optimization of machine learning algorithms: Theory and practice→Machine learning: Trends, perspectives, and prospectsLegacy edge — source detail unavailable
On hyperparameter optimization of machine learning algorithms: Theory and practice→Ensemble Methods in Machine LearningLegacy edge — source detail unavailable
On hyperparameter optimization of machine learning algorithms: Theory and practice→Large-Scale Machine Learning with Stochastic Gradient DescentLegacy edge — source detail unavailable
On hyperparameter optimization of machine learning algorithms: Theory and practice→Practical Bayesian Optimization of Machine Learning AlgorithmsLegacy edge — source detail unavailable
On hyperparameter optimization of machine learning algorithms: Theory and practice→A survey of decision tree classifier methodologyLegacy edge — source detail unavailable
On hyperparameter optimization of machine learning algorithms: Theory and practice→Parameter selection in particle swarm optimizationLegacy edge — source detail unavailable
On hyperparameter optimization of machine learning algorithms: Theory and practice→Algorithms for Hyper-Parameter OptimizationLegacy edge — source detail unavailable
On hyperparameter optimization of machine learning algorithms: Theory and practice→A fuzzy K-nearest neighbor algorithmLegacy edge — source detail unavailable
On hyperparameter optimization of machine learning algorithms: Theory and practice→An empirical study of the naive Bayes classifierLegacy edge — source detail unavailable
On hyperparameter optimization of machine learning algorithms: Theory and practice→On Over-fitting in Model Selection and Subsequent Selection Bias in Performance EvaluationLegacy edge — source detail unavailable
On hyperparameter optimization of machine learning algorithms: Theory and practice→DEAP: evolutionary algorithms made easyLegacy edge — source detail unavailable
On hyperparameter optimization of machine learning algorithms: Theory and practice→GAUSSIAN PROCESSES FOR MACHINE LEARNINGLegacy edge — source detail unavailable
Algorithms for Hyper-Parameter Optimization→Neural networks for pattern recognitionLegacy edge — source detail unavailable
Practical Bayesian Optimization of Machine Learning Algorithms→Algorithms for Hyper-Parameter OptimizationLegacy edge — source detail unavailable
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation→Neural networks for pattern recognitionLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Scikit-learn: Machine Learning in Python	2012	64,025
Neural networks for pattern recognition	1994	18,720
Numerical optimization	2021	14,172
Machine learning: Trends, perspectives, and prospects	2015	9,947
Ensemble Methods in Machine Learning	2000	8,058
Large-Scale Machine Learning with Stochastic Gradient Descent	2010	5,695
Practical Bayesian Optimization of Machine Learning Algorithms	2012	5,674
A survey of decision tree classifier methodology	1991	3,833
Parameter selection in particle swarm optimization	1998	3,539
Algorithms for Hyper-Parameter Optimization	2011	3,188
A fuzzy K-nearest neighbor algorithm	1985	2,679
An empirical study of the naive Bayes classifier	2001	2,548
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation	2010	1,988
DEAP: evolutionary algorithms made easy	2012	1,670
GAUSSIAN PROCESSES FOR MACHINE LEARNING	2004	1,486

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Topics

Machine Learning and Data Classification	Computer Science
Advanced Multi-Objective Optimization Algorithms	Computer Science
Metaheuristic Optimization Algorithms Research	Computer Science

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