8 citations · 10 across the 3 of their papers we have counts for
3 papers
Homotopy Continuation Approaches for Robust SV Classification and Regression
Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama +2
In support vector machine (SVM) applications with unreliable data that contains a portion of outliers, non-robustness of SVMs often causes considerable performance deterioration. A…
An Algorithmic Framework for Computing Validation Performance Bounds by Using Suboptimal Models
Yoshiki Suzuki, Kohei Ogawa, Yuki Shinmura +1
Practical model building processes are often time-consuming because many different models must be trained and validated. In this paper, we introduce a novel algorithm that can be u…
Safe Sample Screening for Support Vector Machines
Kohei Ogawa, Yoshiki Suzuki, Shinya Suzumura +1
Sparse classifiers such as the support vector machines (SVM) are efficient in test-phases because the classifier is characterized only by a subset of the samples called support vec…