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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Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2010-10-14T20:04:31Z.
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Subjects: | |
Online Access: | Get fulltext |