1584 search results - page 1 / 317 » Continuous Optimization of Hyper-Parameters |
64
Voted
IJCNN
2000
IEEE
15 years 1 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
12 years 12 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
14 years 11 months ago
2010
Springer
115
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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...
90
Voted
ALGORITHMICA
2010
14 years 7 months ago
2010