2363 search results - page 7 / 473 » Learning Algorithms for Domain Adaptation |
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...
OTM
2004
Springer
14 years 25 days ago
2004
Springer
Abstract. This paper presents a knowledge-based approach to eLearning, where the domain ontology plays central role as a resource structuring the learning content and supporting ï¬...
ACL
2007
13 years 9 months ago
2007
When a word sense disambiguation (WSD) system is trained on one domain but applied to a different domain, a drop in accuracy is frequently observed. This highlights the importance...
ALT
2009
Springer
13 years 10 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...