2 papers
stat.ML2025
Active learning for level set estimation under input uncertainty and its extensions
Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue +1
Testing under what conditions the product satisfies the desired properties is a fundamental problem in manufacturing industry. If the condition and the property are respectively re…
stat.ML2025
Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening
Hiroki Kato, Hiroyuki Hanada, Ichiro Takeuchi
We consider the problem of learning a sparse rule model, a prediction model in the form of a sparse linear combination of rules, where a rule is an indicator function defined over…