Fast estimation of Hidden Markov Models via alpha-EM algorithm

Yasuo Matsuyama, Ryunosuke Hayashi, Ryota Yokote

    研究成果: Conference contribution

    抄録

    Fast estimation algorithms of Hidden Markov Models (HMMs), or alpha-HMMs, are presented. Such novel algorithms inherit speedup properties of the alpha-EM algorithm. Since the alpha-EM algorithm includes the traditional log-EM algorithm as its special case, the alpha-HMM also includes the traditional log-HMM as its special case. This generalization appears as the utilization of the past information which is the main device of the speedup. Since the memorization of the past information requires only little increase of computational load and memory, the iteration speedup directly appears as that of CPU time. Experimental results are given.

    本文言語English
    ホスト出版物のタイトルIEEE Workshop on Statistical Signal Processing Proceedings
    ページ89-92
    ページ数4
    DOI
    出版ステータスPublished - 2011
    イベント2011 IEEE Statistical Signal Processing Workshop, SSP 2011 - Nice
    継続期間: 2011 6 282011 6 30

    Other

    Other2011 IEEE Statistical Signal Processing Workshop, SSP 2011
    CityNice
    Period11/6/2811/6/30

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Applied Mathematics
    • Signal Processing
    • Computer Science Applications

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