Hyperparameter tuning for big data using Bayesian optimisation
Hyperparameter tuning for big data using Bayesian optimisation is a scholarly work by Svetha Venkatesh, published in 2016. The main subjects of the publication include Bayesian optimization, model selection, hyperparameter, artificial intelligence, hyperparameter optimization, multi-objective optimization, active learning, big data, machine learning, computer science, and Bayesian probability. The authors propose a novel framework for tuning the hyperparameters for big data using Bayesian optimisation.