Special Issue of the ACML 2018 Journal Track

Participating journal: Machine Learning

Guest Editors: Masashi Sugiyama, Yung-Kyun Noh

Machine Learning

Journal

Machine Learning

Machine Learning is an international forum focusing on computational approaches to learning.

Masashi Sugiyama

-
Yung-Kyun Noh

-

Showing 1-8 of 8 articles

Foreword: special issue for the journal track of the 10th Asian Conference on Machine Learning (ACML 2018)
Masashi Sugiyama
Yung-Kyun Noh
EditorialNotes 10 May 2019 Pages: 717 - 719
An accelerated variance reducing stochastic method with Douglas-Rachford splitting
Jingchang Liu
Linli Xu
Qing Ling
OriginalPaper 01 May 2019 Pages: 859 - 878
Annotation cost-sensitive active learning by tree sampling
Yu-Lin Tsou
Hsuan-Tien Lin
OriginalPaper 01 April 2019 Pages: 785 - 807
Good arm identification via bandit feedback
Hideaki Kano
Junya Honda
Masashi Sugiyama
OriginalPaper Open access 06 March 2019 Pages: 721 - 745
N-ary decomposition for multi-class classification
Joey Tianyi Zhou
Ivor W. Tsang
Klaus-Robert Müller
OriginalPaper 20 February 2019 Pages: 809 - 830
Supervised representation learning for multi-label classification
Ming Huang
Fuzhen Zhuang
Qing He
OriginalPaper 13 February 2019 Pages: 747 - 763
Millionaire: a hint-guided approach for crowdsourcing
Bo Han
Quanming Yao
Masashi Sugiyama
OriginalPaper 19 December 2018 Pages: 831 - 858
Bayesian optimistic Kullback–Leibler exploration
Kanghoon Lee
Geon-Hyeong Kim
Kee-Eung Kim
OriginalPaper 19 December 2018 Pages: 765 - 783