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st00d25

physics researcher

Username: st00d25

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Location: Bunkyo, Japan

Member since: January 2013

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Résumé

Education

Bachelor of Science

Kyushu University

2005-2007

Master of Science

The University of Tokyo

2007-2009

Publications

Node perturbation learning without noiseless baseline

Neural Networks

Enhanced a biological feasibility for node perturbation, a learning rule it might be utilized in song bird.

Optimal node perturbation in linear perceptrons with uncertain eligibility trace

Neural Networks

Reduced the residual error in node perturbation learning which might be utilized in song bird brain.