Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 노영균 | - |
dc.date.accessioned | 2020-01-03T06:01:37Z | - |
dc.date.available | 2020-01-03T06:01:37Z | - |
dc.date.issued | 2019-05 | - |
dc.identifier.citation | MACHINE LEARNING, v. 108, NO 5, Page. 717-719 | en_US |
dc.identifier.issn | 0885-6125 | - |
dc.identifier.issn | 1573-0565 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007%2Fs10994-019-05796-0 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/121532 | - |
dc.description.sponsorship | It has been a great honor for us to serve as Guest Editors for this special issue, and it would not have been possible without the contributions of many people. We wish to thank the journal track committee for their efforts in ensuring the quality of this special issue, the referees for their time and effort in reviewing the papers and the authors for their contributions. We also would like to thank Peter Flach, Editor-in-Chief for MLJ, and Dragos Margineantu, Editor of special issues for MLJ, as well as the ACML Steering Committee for their guidance and support. Our gratitude also goes to Melissa Fearon and Karthika Deepak from the Springer editorial office for the help in ensuring that the process ran smoothly. | en_US |
dc.language.iso | en | en_US |
dc.publisher | SPRINGER | en_US |
dc.title | Foreword: special issue for the journal track of the 10th Asian Conference on Machine Learning (ACML 2018) | en_US |
dc.type | Article | en_US |
dc.relation.no | 5 | - |
dc.relation.volume | 108 | - |
dc.identifier.doi | 10.1007/s10994-019-05796-0 | - |
dc.relation.page | 717-719 | - |
dc.relation.journal | MACHINE LEARNING | - |
dc.contributor.googleauthor | Sugiyama, Masashi | - |
dc.contributor.googleauthor | Noh, Yung-Kyun | - |
dc.relation.code | 2019000631 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | nohyung | - |
dc.identifier.orcid | https://orcid.org/0000-0002-6372-9267 | - |
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