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月 28 → 2011 6月 30 |
Other
| Other | 2011 IEEE Statistical Signal Processing Workshop, SSP 2011 |
|---|---|
| City | Nice |
| Period | 11/6/28 → 11/6/30 |
ASJC Scopus subject areas
- 電子工学および電気工学
- 応用数学
- 信号処理
- コンピュータ サイエンスの応用