314 citations
- Kyoto UniversityJP6 papers
- The University of TokyoJP3 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE2 papers
- Kyushu UniversityJP2 papers
- National Institute of Advanced Industrial Science and TechnologyJP2 papers
- Technical University of MunichDE2 papers
- The University of OsakaJP2 papers
- Amazon (United States)US1 paper
- Apple (United States)US1 paper
- Arizona State UniversityUS1 paper
- Beijing Institute of TechnologyCN1 paper
- Brno University of TechnologyCZ1 paper
5 papers · 1 filter
Direction Matters: On Influence-Preserving Graph Summarization and Max-cut Principle for Directed Graphs
Wenkai Xu, Gang Niu, Aapo Hyvärinen +1
Summarizing large-scaled directed graphs into small-scale representations is a useful but less studied problem setting. Conventional clustering approaches, which based on "Min-Cut"…
Active learning for enumerating local minima based on Gaussian process derivatives
Yu Inatsu, Daisuke Sugita, Kazuaki Toyoura +1
We study active learning (AL) based on Gaussian Processes (GPs) for efficiently enumerating all of the local minimum solutions of a black-box function. This problem is challenging…
Robust Graph Embedding with Noisy Link Weights
Akifumi Okuno, Hidetoshi Shimodaira
We propose -graph embedding for robustly learning feature vectors from data vectors and noisy link weights. A newly introduced empirical moment -score reduces the influence o…
Estimation of interventional effects of features on prediction
Patrick Blöbaum, Shohei Shimizu
The interpretability of prediction mechanisms with respect to the underlying prediction problem is often unclear. While several studies have focused on developing prediction models…
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data
Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez +10
Machine learning methods are used to discover complex nonlinear relationships in biological and medical data. However, sophisticated learning models are computationally unfeasible…