Mineichi Kudo

4 papers · 2014–2020 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

ACML (3) IJCAI (1)

Top co-authors

Keigo Kimura (1) Hideyuki Imai (1) Ichigaku Takigawa (1) Lu Sun (1) Mitsuki Maekawa (1) Yuzuru Tanaka (1) Akira Tanaka (1) Atsuyoshi Nakamura (1)

Research topics

Machine Learning (2) Core Methods (2) Mathematics & Optimization (1) Learning Types (1) Optimization (1)

Keywords

matrix decomposition (1) ensemble learning (1) reproducing kernel hilbert space (1) multiple kernel learning (1) kernel regression (1) generalization ability (1) kernel regressor (1) orthogonal nonnegative matrix factorization (1) hierarchical alternating least square (1)

Papers

Data-Dependent Conversion to a Compact Integer-Weighted Representation of a Weighted Voting Classifier ACML 2020 Polytree-Augmented Classifier Chains for Multi-Label Classification IJCAI 2015 A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization ACML 2014 Theoretical Analyses on Ensemble and Multiple Kernel Regressors ACML 2014