抄録
In this study, we present a fuzzy counterpart to the probabilistic latent semantic analysis (PLSA) approach. It is derived by solving the optimization problem of Tsallis entropy-penalizing free energy of a pseudo PLSA model by using a modified i.i.d. assumption. This derivation is similar to that of the conventional fuzzy counterpart of the PLSA, which involves solving the optimization problem of Shannon entropy-penalizing free energy. Furthermore, the proposed method is validated using numerical examples.
| 本文言語 | English |
|---|---|
| ページ（範囲） | 58-64 |
| ページ数 | 7 |
| ジャーナル | Journal of Advanced Computational Intelligence and Intelligent Informatics |
| 巻 | 24 |
| 号 | 1 |
| DOI | |
| 出版ステータス | Published - 2020 |
ASJC Scopus subject areas
- 人間とコンピュータの相互作用
- コンピュータ ビジョンおよびパターン認識
- 人工知能