1584 search results - page 1 / 317 » Continuous Optimization of Hyper-Parameters |
IJCNN
2000
IEEE
15 years 2 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
13 years 17 days 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
15 years 3 days ago
2010
Springer
125
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SOCO
2012
Springer
13 years 5 months 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...
94
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ALGORITHMICA
2010
14 years 8 months ago
2010