Approximate inference in additive factorial HMMs with application to energy disaggregation
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function of all the hidden states. Although such models are very powerful, accurate inference is unfortunately difficult: exact i...
| Main Authors: | , |
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| Andre forfattere: | |
| Format: | Article |
| Sprog: | en_US |
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Proceedings of Machine Learning Research
2018
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| Online adgang: | http://hdl.handle.net/1721.1/115326 https://orcid.org/0000-0002-2199-0379 |