22 search results - page 1 / 5 » Transfer learning from multiple source domains via consensus... |
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
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ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
We propose a multiple source domain adaptation method, referred to as Domain Adaptation Machine (DAM), to learn a robust decision function (referred to as target classifier) for l...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
SDM
2012
SIAM
11 years 7 months ago
2012
SIAM
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
ATAL
2009
Springer
13 years 11 months ago
2009
Springer
The field of transfer learning aims to speed up learning across multiple related tasks by transferring knowledge between source and target tasks. Past work has shown that when th...