講演抄録/キーワード |
講演名 |
2015-06-23 15:05
Lazy Transfer Leanring ○Song Liu・Kenji Fukumizu(ISM) IBISML2015-12 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
The concept of Transfer Learning frequently rises when one has already acquired a general-purpose classifier (e.g. human hand-writing recognizer) and want to enhance it on a similar but slightly different task (John's hand-writing recognition). In this paper, we focus on a ``lazy'' setting where an accurate general purpose probabilistic classifier is already given and the transfer algorithm is executed afterwards. We propose a novel methodology to estimate the class-posterior ratio using a sparse parametric model.
The new classifier therefore is obtained by multiplying the existing classifier with the approximated posterior ratio.
The usefulness of the proposed method is demonstrated via numerical and real-world experiments. |
キーワード |
(和) |
/ / / / / / / |
(英) |
Transfer Learning / Discriminative Learning / Posterior Ratio Estimation / / / / / |
文献情報 |
信学技報, vol. 115, no. 112, IBISML2015-12, pp. 75-80, 2015年6月. |
資料番号 |
IBISML2015-12 |
発行日 |
2015-06-16 (IBISML) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
IBISML2015-12 |