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KAIS
2011
97views more  KAIS 2011»
13 years 6 days ago
Statistical outlier detection using direct density ratio estimation
Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi...
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
2010
SIAM
165views Data Mining» more  SDM 2010»
13 years 6 months ago
Direct Density Ratio Estimation with Dimensionality Reduction
Methods for directly estimating the ratio of two probability density functions without going through density estimation have been actively explored recently since they can be used...
Masashi Sugiyama, Satoshi Hara, Paul von Büna...
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
NN
2010
Springer
183views Neural Networks» more  NN 2010»
13 years 3 months ago
Dimensionality reduction for density ratio estimation in high-dimensional spaces
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui