Method and apparatus for improving resilience in customized program learning network computational environments

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United States of America Patent

PATENT NO 9336498
APP PUB NO 20140250034A1
SERIAL NO

14157327

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Abstract

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An apparatus and a method are provided for learning a program with a large number of parameters. In one embodiment, a method not only distorts the input values, but also distorts some of the parameters in the program model. Such an approach not only forces the learned program to acquire parameter values to predict missing or desired data, but also to correct errors in the input data and the program parameters themselves, thereby rendering the learned program more resilient to overfitting and falling into local optima.

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Patent Owner(s)

Patent OwnerAddress
HARIK GEORGESPALO ALTO CA

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Harik, Georges Palo Alto, US 64 2091

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