Beyond local optimality: An improved approach to hybrid model learning

Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop an approach for learning the model parameters of hybrid discrete-continuous systems that avoids getting stuck in locally optimal s...

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Bibliographic Details
Main Authors: Gil, Stephanie (Contributor), Williams, Brian Charles (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2010-10-14T20:04:31Z.
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