5 citations · 5 across the 2 of their papers we have counts for
2 papers
stat.ML2015
Quick sensitivity analysis for incremental data modification and its application to leave-one-out CV in linear classification problems
Shota Okumura, Yoshiki Suzuki, Ichiro Takeuchi
We introduce a novel sensitivity analysis framework for large scale classification problems that can be used when a small number of instances are incrementally added or removed. Fo…
stat.ML2015★ 5 cited
Regularization Path of Cross-Validation Error Lower Bounds
Atsushi Shibagaki, Yoshiki Suzuki, Masayuki Karasuyama +1
Careful tuning of a regularization parameter is indispensable in many machine learning tasks because it has a significant impact on generalization performances. Nevertheless, curre…