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...

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Bibliografiske detaljer
Main Authors: Kolter, Jeremy Z., Jaakkola, Tommi S.
Andre forfattere: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Sprog:en_US
Udgivet: Proceedings of Machine Learning Research 2018
Online adgang:http://hdl.handle.net/1721.1/115326
https://orcid.org/0000-0002-2199-0379