28 citations · 94 across the 27 of their papers we have counts for
4 papers · 1 filter
Density-Difference Estimation
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki +3
We address the problem of estimating the difference between two probability densities. A naive approach is a two-step procedure of first estimating two densities separately and the…
A Unified Robust Classification Model
Akiko Takeda, Hiroyuki Mitsugi, Takafumi Kanamori
A wide variety of machine learning algorithms such as support vector machine (SVM), minimax probability machine (MPM), and Fisher discriminant analysis (FDA), exist for binary clas…
A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems
Takafumi Kanamori, Akiko Takeda, Taiji Suzuki
In binary classification problems, mainly two approaches have been proposed; one is loss function approach and the other is uncertainty set approach. The loss function approach is…
Semi-Supervised learning with Density-Ratio Estimation
Masanori Kawakita, Takafumi Kanamori
In this paper, we study statistical properties of semi-supervised learning, which is considered as an important problem in the community of machine learning. In the standard superv…