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SDM
2009
SIAM
343views Data Mining» more  SDM 2009»
14 years 2 months ago
Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
Masashi Sugiyama, Yoshinobu Kawahara
ICDM
2008
IEEE
176views Data Mining» more  ICDM 2008»
13 years 11 months ago
Inlier-Based Outlier Detection via Direct Density Ratio Estimation
We propose a new statistical approach to the problem of inlier-based outlier detection, i.e., finding outliers in the test set based on the training set consisting only of inlier...
Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi...
SDM
2008
SIAM
134views Data Mining» more  SDM 2008»
13 years 6 months ago
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
KAIS
2011
97views more  KAIS 2011»
13 years 7 days ago
Statistical outlier detection using direct density ratio estimation
Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi...
IEICET
2010
80views more  IEICET 2010»
13 years 3 months ago
Theoretical Analysis of Density Ratio Estimation
Density ratio estimation has gathered a great deal of attention recently since it can be used for various data processing tasks. In this paper, we consider three methods of densit...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama