Evolving the Structure of Hidden Markov Models
A Genetic Algorithm (GA) is proposed for finding the structure of Hidden Markov Models (HMMs) used for biological sequence analysis. The GA is designed to preserve biologically meaningful building blocks. The search through the space of HMM structures is combined with optimisation of the emission an...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2006.
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| Subjects: | |
| Online Access: | Get fulltext |