RHOASo: An Early Stop Hyper-Parameter Optimization Algorithm

RHOASo: An Early Stop Hyper-Parameter Optimization Algorithm

This work proposes a new algorithm for optimizing hyper-parameters of a machine learning algorithm, RHOASo, based on conditional optimization of concave asymptotic functions. A comparative analysis of the algorithm is presented, giving particular emphasis to two important properties: the capability...

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Bibliographic Details
Main Authors: Ángel Luis Muñoz Castañeda, Noemí DeCastro-García, David Escudero García
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Mathematics
Subjects:
hyperparameters
machine learning
optimization
inference
Online Access:https://www.mdpi.com/2227-7390/9/18/2334

Internet

https://www.mdpi.com/2227-7390/9/18/2334

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