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Applied mathematics / Stochastic optimization / Estimation theory / Natural evolution strategy / Statistical models / Cybernetics / CMA-ES / Evolution strategy / Normal distribution / Statistics / Evolutionary algorithms / Probability and statistics


Document Date: 2011-08-30 09:30:59

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City

Dublin / Portland / Hongkong / /

Company

Bayer / IEEE Press / /

Country

Wales / /

Currency

USD / /

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Facility

University of Lugano Manno / library PyBrain / /

IndustryTerm

search parameters / search distribution input / nonGaussian search distributions / lowest-energy structures / inner product / recurrent neural networks / linear time algorithm / continuous search spaces / real-valued black box search / heavy-tailed search distributions / search space dimension / potential energy function / search distributions / heavy-tailed search distribution / recurrent neural network / utilities uk / high-dimensional search spaces / multi-variate search distributions / search distribution f1 / gradient ascent algorithm / evolutionary algorithms / high dimensional search spaces / search space / search algorithm / search distribution / /

MarketIndex

BBOB / /

Organization

Congress / European Union / University of Lugano Manno / /

Person

Tobias Glasmachers Jürgen Schmidhuber / Az / Faustino Gomez / Tom Schaul Tobias Glasmachers Jürgen / /

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Position

editor / full NES hill-climber / trivial Fisher / Fisher information matrix / inverse Fisher / Fisher / Fisher information metric / General / hill-climber / controller / /

ProgrammingLanguage

Python / /

PublishedMedium

The Journal of Physical Chemistry A / Machine Learning / Natural Computing / Journal of Machine Learning Research / /

Technology

SNES algorithm / resulting algorithm / neural network / NES algorithm / search algorithm / linear time algorithm / machine learning / distribution algorithms / NES algorithms / gradient ascent algorithm / /

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