Abstract: This paper examines two issues of a statistical speech synthesis approach based Gaussian process (GP) regression ... we propose an EM-based kernel hyperparameter optimization technique.

The Gaussian Process Regression model based on hyperparameter optimization proposed in this paper has better prediction accuracy compared with the prediction results without hyperparameter tuning and ...

Figure 7 Results of bi-objective optimization using a Gaussian process regression and genetic algorithm hybrid (GPR-GA) for the combination three nutrient input variables with average daily weight ...

Find more information on the Altmetric Attention Score and how the score is calculated. Geometry optimization based on Gaussian process regression (GPR) was extended to internal coordinates. We used ...

It frees users from selecting learners and hyperparameters for each learner. FLAML is powered by a new, cost-effective hyperparameter optimization and learner selection method invented by Microsoft ...