HYPERPARAMETER OPTIMIZATION BASED ON A PRIORI AND A POSTERIORI KNOWLEDGE ABOUT CLASSIFICATION PROBLEM

HYPERPARAMETER OPTIMIZATION BASED ON A PRIORI AND A POSTERIORI KNOWLEDGE ABOUT CLASSIFICATION PROBLEM

Subject of Research. The paper deals with Bayesian method for hyperparameter optimization of algorithms, used in machine learning for classification problems. A comprehensive survey is carried out about using a priori and a posteriori knowledge in classification task for hyperparameter optimization...

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Bibliographic Details
Main Authors: Valentina S. Smirnova, Viacheslav V. Shalamov, Valeria A. Efimova, Andrey A. Filchenkov
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2020-12-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
machine learning
classification
hyperparameter optimization
bayesian optimization
gaussian processes
Online Access:https://ntv.ifmo.ru/file/article/20006.pdf

Internet

https://ntv.ifmo.ru/file/article/20006.pdf

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