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JMLR
2012
13 years 1 days ago
Random Search for Hyper-Parameter Optimization
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 ...
James Bergstra, Yoshua Bengio
WSC
1998
14 years 11 months ago
Modeling Cardiac Ion Channel Conductivity: Model Fitting via Simulation
We describe a Markov state model for a cloned potassium channel of the human heart ( 1KvLQTI ). The parameters of the model are determined by a least-squares fit of predicted vs. ...
John L. Maryak, Richard H. Smith, Raimond L. Winsl...
STOC
2010
ACM
194views Algorithms» more  STOC 2010»
15 years 2 months ago
Multi-parameter mechanism design and sequential posted pricing
We study the classic mathematical economics problem of Bayesian optimal mechanism design where a principal aims to optimize expected revenue when allocating resources to self-inte...
Shuchi Chawla, Jason Hartline, David Malec and Bal...
CVPR
2008
IEEE
15 years 11 months ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
CEC
2010
IEEE
14 years 9 months ago
Sequential DE enhanced by neighborhood search for Large Scale Global Optimization
— In this paper, the performance of a sequential Differential Evolution (DE) enhanced by neighborhood search (SDENS) is reported on the set of benchmark functions provided for th...
Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Dazhi J...