抄録
This paper presents studies on a deterministic annealing algorithm based on quantum annealing for variational Bayes (QAVB) inference, which can be seen as an extension of the simulated annealing for variational Bayes (SAVB) inference. QAVB is as easy as SAVB to implement. Experiments revealed QAVB finds a better local optimum than SAVB in terms of the variational free energy in latent Dirichlet allocation (LDA).
本文言語 | English |
---|---|
ホスト出版物のタイトル | Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009 |
ページ | 479-486 |
ページ数 | 8 |
出版ステータス | Published - 2009 |
外部発表 | はい |
イベント | 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009 - Montreal, QC, Canada 継続期間: 2009 6 18 → 2009 6 21 |
Other
Other | 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009 |
---|---|
Country | Canada |
City | Montreal, QC |
Period | 09/6/18 → 09/6/21 |
ASJC Scopus subject areas
- Artificial Intelligence
- Applied Mathematics