14 citations · 18 across the 5 of their papers we have counts for
5 papers
Cross-validation-based optimal feature selection for linear SVM classification
Masaharu Mori, Shunnosuke Ikeda, Ryuta Tamura +2
This paper addresses feature subset selection for Support Vector Machines (SVMs) based on the cross-validation criterion. Unlike statistical criteria such as the Akaike information…
Feature subset selection for kernel SVM classification via mixed-integer optimization
Ryuta Tamura, Yuichi Takano, Ryuhei Miyashiro
We study the mixed-integer optimization (MIO) approach to feature subset selection in nonlinear kernel support vector machines (SVMs) for binary classification. First proposed for…
Characterization of canonical systems with six types of coins for the change-making problem
Yuma Suzuki, Ryuhei Miyashiro
This paper analyzes a necessary and sufficient condition for the change-making problem to be solvable with a greedy algorithm. The change-making problem is to minimize the number o…
Piecewise-Linear Approximation for Feature Subset Selection in a Sequential Logit Model
Toshiki Sato, Yuichi Takano, Ryuhei Miyashiro
This paper concerns a method of selecting a subset of features for a sequential logit model. Tanaka and Nakagawa (2014) proposed a mixed integer quadratic optimization formulation…
A 2.75-Approximation Algorithm for the Unconstrained Traveling Tournament Problem
Shinji Imahori, Tomomi Matsui, Ryuhei Miyashiro
A 2.75-approximation algorithm is proposed for the unconstrained traveling tournament problem, which is a variant of the traveling tournament problem. For the unconstrained traveli…