Search Results for author:
Found 2 papers, 1 papers with code
Active Learning for Computationally Efficient Distribution of Binary Evolution Simulations
We find that optimizing for classification only may lead to performance losses in regression, and vice versa.
Fast methods for training Gaussian processes on large data sets
Gaussian process regression (GPR) is a non-parametric Bayesian technique for interpolating or fitting data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
