Hyperparameter Optimization: Comparing Genetic Algorithm against Grid Search and Bayesian Optimization

The performance of machine learning algorithms are affected by several factors, some of these factors are related to data quantity, quality, or its features. Another element is the choice of an appropriate algorithm to solve the problem and one major influence is the parameter configuration based on...

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Veröffentlicht in:	2021 IEEE Congress on Evolutionary Computation (CEC) S. 1551 - 1559
Hauptverfasser:	Alibrahim, Hussain, Ludwig, Simone A.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2021
Schlagworte:	Bayes methods Bayesian Genetic Algorithm Grid Search Hyperparmeter optimization Machine learning algorithms Neural networks Prediction algorithms Search problems Time measurement Training
Online-Zugang:	Volltext
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