3 papers
cs.LG2024
Remarks on Loss Function of Threshold Method for Ordinal Regression Problem
Ryoya Yamasaki, Toshiyuki Tanaka
Threshold methods are popular for ordinal regression problems, which are classification problems for data with a natural ordinal relation. They learn a one-dimensional transformati…
cs.LG2024
Parallel Algorithm for Optimal Threshold Labeling of Ordinal Regression Methods
Ryoya Yamasaki, Toshiyuki Tanaka
Ordinal regression (OR) is classification of ordinal data in which the underlying categorical target variable has a natural ordinal relation for the underlying explanatory variable…
cs.LG2024
Convergence Analysis of Blurring Mean Shift
Ryoya Yamasaki, Toshiyuki Tanaka
Blurring mean shift (BMS) algorithm, a variant of the mean shift algorithm, is a kernel-based iterative method for data clustering, where data points are clustered according to the…