3 papers
stat.ME2016
A Note on Model Selection for Small Sample Regression
Masanori Kawakita, Jun'ichi Takeuchi
The risk estimator called "Direct Eigenvalue Estimator" (DEE) is studied. DEE was developed for small sample regression. In contrast to many existing model selection criteria, deri…
cs.IT2016
Minimum Description Length Principle in Supervised Learning with Application to Lasso
Masanori Kawakita, Jun'ichi Takeuchi
The minimum description length (MDL) principle in supervised learning is studied. One of the most important theories for the MDL principle is Barron and Cover's theory (BC theory),…
stat.ML2012
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…