Hyperparameter tuning for big data using Bayesian optimisation
Published • Dec 1, 2016
NobleIDNI6P42W04R10S48
Authors:,,
Tinu Theckel Joy
Santu Rana
Sunil Gupta
Abstract
Hyperparameters play a crucial role in the model selection of machine learning algorithms. Tuning these hyperparameters can be exhaustive when the data is large. Bayesian optimisation has emerged as an efficient tool for hyperparameter tuning of machine learning algorithms. In this paper, we propose...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!