1344 search results - page 120 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
In this paper, we investigate a new machine learning framework called Online Transfer Learning (OTL) that aims to transfer knowledge from some source domain to an online learning ...
WIRI
2005
IEEE
14 years 3 months ago
2005
IEEE
The inter-operability of multiple autonomous and heterogeneous data sources is an important issue in many applications such as mediation systems, datawarehouses, or web-based syst...
IROS
2006
IEEE
14 years 4 months ago
2006
IEEE
Abstract— Long range navigation by unmanned ground vehicles continues to challenge the robotics community. Efficient navigation requires not only intelligent on-board perception...
KDD
2007
ACM
14 years 10 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
KDD
2012
ACM
12 years 15 days ago
2012
ACM
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...