1344 search results - page 74 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
INTERSPEECH
2010
13 years 3 months ago
2010
Practical supervised learning scenarios involving subjectively evaluated data have multiple evaluators, each giving their noisy version of the hidden ground truth. Majority logic ...
HUC
2009
Springer
14 years 1 months ago
2009
Springer
Detecting visits to semantically meaningful places is important for many emerging mobile applications. We present PlaceSense, a place discovery algorithm suitable for mobile devic...
JBI
2007
13 years 8 months ago
2007
Producing reliable information is the ultimate goal of data processing. The ocean of data created with the advances of science and technologies calls for integration of data comin...
DOLAP
2007
ACM
14 years 24 days ago
2007
ACM
ss domain. Using this more abstract approach means that more data sources of varying types can be incorporated with less effort, and such heterogeneous data sources might be very r...
BIBE
2007
IEEE
14 years 26 days ago
2007
IEEE
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...