552 search results - page 14 / 111 » Domain Adaptation with Multiple Sources |
TNN
2011
13 years 2 months ago
2011
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
DAGM
2011
Springer
12 years 7 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...
ESANN
2001
13 years 9 months ago
2001
This paper presents an adaptive procedure for the linear and non-linear separation of signalswithnon-uniform,symmetricalprobabilitydistributions,basedonbothsimulatedannealing andco...
IFIP
2004
Springer
14 years 1 months ago
2004
Springer
: The Mediator EnvirOnment for Multiple Information Sources (MOMIS) aims at constructing synthesized, integrated descriptions of the information coming from multiple heterogeneous ...