765 search results - page 22 / 153 » Modeling and Integrating Background Knowledge in Data Anonym... |
JMLR
2010
13 years 2 months ago
2010
Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...
IJCAI
1989
13 years 9 months ago
1989
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are pur...
SAC
2009
ACM
14 years 2 months ago
2009
ACM
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
BMCBI
2008
13 years 7 months ago
2008
Background: The integration of biomedical information is essential for tackling medical problems. We describe a data model in the domain of flow cytometry (FC) allowing for massiv...