A Bayesian approach for comparing cross-validated algorithms on multiple data sets

Title
A Bayesian approach for comparing cross-validated algorithms on multiple data sets
Authors
Keywords
-
Journal
MACHINE LEARNING
Volume 100, Issue 2-3, Pages 285-304
Publisher
Springer Nature
Online
2015-03-24
DOI
10.1007/s10994-015-5486-z

Ask authors/readers for more resources

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started