| 講演抄録/キーワード |
| 講演名 |
2014-11-18 15:00
[ポスター講演]Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Sufficient Dimension Reduction ○Voot Tangkaratt(Tokyo Inst. of Tech.)・Hiroaki Sasaki・Masashi Sugiyama(Univ. of Tokyo) IBISML2014-79 |
| 抄録 |
(和) |
(事前公開アブストラクト) In this paper we propose a novel method to directly estimate derivatives of Quadratic Mutual Information (QMI) without estimating the QMI itself.
The key idea is that, directly estimating derivative of a function, is more accurate than taken derivatives of an estimated function, which tends to produce a fluctuated derivatives. The result of the proposed method in supervised dimension reduction scheme is shown through artificial experiments. |
| (英) |
An accurate estimator of a function does not necessary mean that its derivative is an accurate estimator of the derivative of the function.
Motivated by this fact, we propose a method to directly estimate
the derivative of quadratic mutual information (QMI) without estimating QMI itself. QMI is a robust and stable variant of ordinary MI and is useful in various statistical data analysis tasks. We apply the proposed direct QMI derivative estimator to sufficient dimension reduction, and develop a natural gradient algorithm over the Grassmann manifold to find the most informative features. Finally, the usefulness of the proposed method is demonstrated through experiments. |
| キーワード |
(和) |
/ / / / / / / |
| (英) |
Mutual information / Dimensionality reduction / / / / / / |
| 文献情報 |
信学技報, vol. 114, no. 306, IBISML2014-79, pp. 329-336, 2014年11月. |
| 資料番号 |
IBISML2014-79 |
| 発行日 |
2014-11-10 (IBISML) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| PDFダウンロード |
IBISML2014-79 |