Top-Down Abstraction Learning Using Prediction as a Supervisory Signal

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United States of America Patent

APP PUB NO 20140122391A1
SERIAL NO

14069363

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Abstract

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A method of machine learning for use with a learning machine which includes a first input sensor adapted to sense an environment, a first output controller adapted to act on the environment, and a computing system including a user input device, a memory, and a processor, includes the steps of providing an event set comprising one or more events, providing a model set adapted to comprise one or more models, and iteratively repeating a sequence of steps for augmenting the event set with the plurality of new events, and acting on the environment using the first output controller.

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Patent Owner(s)

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21CT INC6011 W COURTYARD DRIVE BUILDING 5 SUITE 300 AUSTIN TX 78730

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
McClain, Matthew Ryan Austin, US 1 19
Mugan, Jonathan William Buda, US 5 63

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