Open AccessLearning multiple defaults for machine learning algorithms
Author(s) -
Florian Pfisterer,
Jan N. van Rijn,
Philipp Probst,
Andreas Müller,
Bernd Bischl
Publication year - 2021
Publication title -
proceedings of the genetic and evolutionary computation conference companion
Language(s) - Uncategorized
Resource type - Conference proceedings
DOI - 10.1145/3449726.3459523
Subject(s) - computer science , machine learning , hyperparameter , bayesian optimization , artificial intelligence , default , set (abstract data type) , embarrassingly parallel , bayesian probability , random search , algorithm , parallel algorithm , finance , economics , programming language
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