1584 search results - page 1 / 317 » Continuous Optimization of Hyper-Parameters |
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
JMLR
2012
11 years 7 months ago
2012
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
GECCO
2010
Springer
13 years 6 months ago
2010
Springer
SOCO
2012
Springer
12 years 10 days ago
2012
Springer
Abstract Population-based meta-heuristics are algorithms that can obtain very good results for complex continuous optimization problems in a reduced amount of time. These search al...
ALGORITHMICA
2010
13 years 3 months ago
2010