講演抄録/キーワード |
講演名 |
2011-06-20 10:05
Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis ○Makoto Yamada・Masashi Sugiyama(Tokyo Inst. of Tech.) IBISML2011-1 |
抄録 |
(和) |
(事前公開アブストラクト) Methods for estimating the ratio of two probability density functions have been actively explored recently since they can be used for various data processing tasks such as non-stationarity adaptation, outlier detection, feature selection, and conditional probability estimation. In this paper, we propose a new density-ratio estimator which incorporates \emph{dimensionality reduction} into the
density-ratio estimation procedure. Through experiments, the proposed method is shown to compare favorably with existing density-ratio estimators in terms of both accuracy and computational costs. |
(英) |
(Advance abstract in Japanese is available) |
キーワード |
(和) |
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(英) |
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文献情報 |
信学技報, vol. 111, no. 87, IBISML2011-1, pp. 1-6, 2011年6月. |
資料番号 |
IBISML2011-1 |
発行日 |
2011-06-13 (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 |
IBISML2011-1 |