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» Learning Classifiers from Semantically Heterogeneous Data
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BMVC
2010
13 years 8 months ago
Using Context to Create Semantic 3D Models of Indoor Environments
Semantic 3D models of buildings encode the geometry as well as the identity of key components of a facility, such as walls, floors, and ceilings. Manually constructing such a mode...
Xuehan Xiong, Daniel Huber
BMCBI
2007
133views more  BMCBI 2007»
13 years 10 months ago
Semantic integration to identify overlapping functional modules in protein interaction networks
Background: The systematic analysis of protein-protein interactions can enable a better understanding of cellular organization, processes and functions. Functional modules can be ...
Young-Rae Cho, Woochang Hwang, Murali Ramanathan, ...
DMIN
2007
186views Data Mining» more  DMIN 2007»
13 years 11 months ago
Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
- The classifier built from a data set with a highly skewed class distribution generally predicts the more frequently occurring classes much more often than the infrequently occurr...
Gary M. Weiss, Kate McCarthy, Bibi Zabar
ESWS
2008
Springer
13 years 12 months ago
Instance Based Clustering of Semantic Web Resources
Abstract. The original Semantic Web vision was explicit in the need for intelligent autonomous agents that would represent users and help them navigate the Semantic Web. We argue t...
Gunnar Aastrand Grimnes, Peter Edwards, Alun D. Pr...
WMCSA
2008
IEEE
14 years 4 months ago
HealthSense: classification of health-related sensor data through user-assisted machine learning
Remote patient monitoring generates much more data than healthcare professionals are able to manually interpret. Automated detection of events of interest is therefore critical so...
Erich P. Stuntebeck, John S. Davis II, Gregory D. ...