Infinite Factorial Unbounded-State Hidden Markov Model.

Isabel Valera,Francisco J R Ruiz,Fernando Perez-Cruz

IEEE Transactions on Pattern Analysis and Machine Intelligence（2016）

引用 26|浏览31

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摘要

There are many scenarios in artificial intelligence, signal processing or medicine, in which a temporal sequence consists of several unknown overlapping independent causes, and we are interested in accurately recovering those canonical causes. Factorial hidden Markov models (FHMMs) present the versatility to provide a good fit to these scenarios. However, in some scenarios, the number of causes or...

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关键词

Hidden Markov models,Markov processes,Inference algorithms,Yttrium,Bayes methods,Computational modeling,Probability distribution

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