Star algorithm for neural network ensembling.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 38029718.
- Also identified by DOI 10.1016/j.neunet.2023.11.020.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Neural network ensembling is a common and robust way to increase model efficiency. In this paper, we propose a new neural network ensemble algorithm based on Audibert's empirical star algorithm. We provide optimal theoretical minimax bound on the excess squared risk. Additionally, we empirically study this algorithm on regression and classification tasks and compare it to most popular ensembling methods.
Medical subject headings
- Neural Networks, Computer
- Algorithms