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ICDM
2008
IEEE
176views Data Mining» more  ICDM 2008»
14 years 4 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...
KAIS
2011
97views more  KAIS 2011»
13 years 5 months ago
Statistical outlier detection using direct density ratio estimation
Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi...
SDM
2010
SIAM
165views Data Mining» more  SDM 2010»
13 years 11 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...
NN
2010
Springer
183views Neural Networks» more  NN 2010»
13 years 8 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
ICASSP
2010
IEEE
13 years 10 months ago
Direct importance estimation with probabilistic principal component analyzers
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
Makoto Yamada, Masashi Sugiyama, Gordon Wichern