15 citations · 34 across the 17 of their papers we have counts for
3 papers · 1 filter
Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning
Takumi Yoshida, Hiroyuki Hanada, Kazuya Nakagawa +3
Predictive pattern mining is an approach used to construct prediction models when the input is represented by structured data, such as sets, graphs, and sequences. The main idea be…
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications
Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji +1
In this study, we have developed an incremental machine learning (ML) method that efficiently obtains the optimal model when a small number of instances or features are added or re…
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty
Yu Inatsu, Shion Takeno, Hiroyuki Hanada +2
In this study, we propose a novel multi-objective Bayesian optimization (MOBO) method to efficiently identify the Pareto front (PF) defined by risk measures for black-box functions…