Mach Learn (2010) 79: 151–175 DOI 10.1007/s10994-009-5152-4 A theory of learning from different domains Shai Ben-David · John Blitzer · Koby Crammer · Alex Kulesza · Fernando Pereira · Jennifer Wortman Vaughan Received: 28 February 2009 / R... 続きを読む
転移学習のサーベイ 神嶌 敏弘 (産業技術総合研究所) http://www.kamishima.net/ 2009.3.3 AI学会SIG-DMSM研究会 1 目標ドメイン target domain 元ドメイン source domain 転移学習 (transfer learning) 2 統一された形式的定義なく,おおまかに次のようなもの... 続きを読む
転移学習のサーベイ Survey on Transfer Learning from Taxonomic Perspective 神嶌 敏弘 1∗ Toshihiro Kamishima 1 産業技術総合研究所 1 National Institute of Advanced Industrial Science and Technology (AIST) Abstract: We overview resent researche... 続きを読む
1 A Survey on Transfer Learning Sinno Jialin Pan and Qiang Yang Fellow, IEEE Abstract—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the... 続きを読む