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Huang et al., 2018 - Google Patents

Learning hidden Markov models from pairwise co-occurrences with application to topic modeling

Huang et al., 2018

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Document ID
3680544553506414247
Author
Huang K
Fu X
Sidiropoulos N
Publication year
Publication venue
International Conference on Machine Learning

External Links

Snippet

We present a new algorithm for identifying the transition and emission probabilities of a hidden Markov model (HMM) from the emitted data. Expectation-maximization becomes computationally prohibitive for long observation records, which are often required for …
Continue reading at proceedings.mlr.press (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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